id	sid	tid	token	lemma	pos
cusj-5570	1	1	columbia	columbia	PROPN
cusj-5570	1	2	undergraduate	undergraduate	PROPN
cusj-5570	1	3	science	science	PROPN
cusj-5570	1	4	journal	journal	PROPN
cusj-5570	1	5	open	open	ADJ
cusj-5570	1	6	-	-	PUNCT
cusj-5570	1	7	access	access	NOUN
cusj-5570	1	8	publication	publication	NOUN
cusj-5570	1	9	|	|	NOUN
cusj-5570	1	10	http://cusj.columbia.edu	http://cusj.columbia.edu	PROPN
cusj-5570	1	11	spring	spring	NOUN
cusj-5570	1	12	2014	2014	NUM
cusj-5570	2	1	|	|	ADV
cusj-5570	2	2	volume	volume	NOUN
cusj-5570	2	3	8	8	NUM
cusj-5570	2	4	22	22	NUM
cusj-5570	2	5	classification	classification	NOUN
cusj-5570	2	6	of	of	ADP
cusj-5570	2	7	neocortical	neocortical	ADJ
cusj-5570	2	8	neurons	neuron	NOUN
cusj-5570	2	9	using	use	VERB
cusj-5570	2	10	affinity	affinity	NOUN
cusj-5570	2	11	propagation	propagation	NOUN
cusj-5570	2	12	naureen	naureen	VERB
cusj-5570	2	13	ghani1	ghani1	PROPN
cusj-5570	2	14	*	*	PROPN
cusj-5570	2	15	,	,	PUNCT
cusj-5570	2	16	rafael	rafael	PROPN
cusj-5570	2	17	yuste2	yuste2	PROPN
cusj-5570	3	1	1the	1the	PROPN
cusj-5570	3	2	fu	fu	PROPN
cusj-5570	3	3	foundation	foundation	NOUN
cusj-5570	3	4	school	school	NOUN
cusj-5570	3	5	of	of	ADP
cusj-5570	3	6	engineering	engineering	NOUN
cusj-5570	3	7	and	and	CCONJ
cusj-5570	3	8	applied	apply	VERB
cusj-5570	3	9	science	science	NOUN
cusj-5570	3	10	,	,	PUNCT
cusj-5570	3	11	columbia	columbia	PROPN
cusj-5570	3	12	university	university	PROPN
cusj-5570	3	13	,	,	PUNCT
cusj-5570	3	14	new	new	PROPN
cusj-5570	3	15	york	york	PROPN
cusj-5570	3	16	,	,	PUNCT
cusj-5570	3	17	ny	ny	PROPN
cusj-5570	3	18	,	,	PUNCT
cusj-5570	3	19	usa	usa	PROPN
cusj-5570	3	20	;	;	PUNCT
cusj-5570	3	21	2department	2department	NUM
cusj-5570	3	22	of	of	ADP
cusj-5570	3	23	biological	biological	ADJ
cusj-5570	3	24	sciences	science	NOUN
cusj-5570	3	25	,	,	PUNCT
cusj-5570	3	26	the	the	DET
cusj-5570	3	27	kavli	kavli	PROPN
cusj-5570	3	28	institute	institute	NOUN
cusj-5570	3	29	for	for	ADP
cusj-5570	3	30	brain	brain	NOUN
cusj-5570	3	31	science	science	NOUN
cusj-5570	3	32	,	,	PUNCT
cusj-5570	3	33	columbia	columbia	PROPN
cusj-5570	3	34	university	university	PROPN
cusj-5570	3	35	,	,	PUNCT
cusj-5570	3	36	new	new	PROPN
cusj-5570	3	37	york	york	PROPN
cusj-5570	3	38	,	,	PUNCT
cusj-5570	3	39	ny	ny	PROPN
cusj-5570	3	40	,	,	PUNCT
cusj-5570	3	41	usa	usa	PROPN
cusj-5570	3	42	abstract	abstract	PROPN
cusj-5570	3	43	determining	determine	VERB
cusj-5570	3	44	the	the	DET
cusj-5570	3	45	circuitry	circuitry	NOUN
cusj-5570	3	46	of	of	ADP
cusj-5570	3	47	the	the	DET
cusj-5570	3	48	neocortex	neocortex	NOUN
cusj-5570	3	49	requires	require	VERB
cusj-5570	3	50	an	an	DET
cusj-5570	3	51	understanding	understanding	NOUN
cusj-5570	3	52	of	of	ADP
cusj-5570	3	53	its	its	PRON
cusj-5570	3	54	components	component	NOUN
cusj-5570	3	55	,	,	PUNCT
cusj-5570	3	56	which	which	PRON
cusj-5570	3	57	in	in	ADP
cusj-5570	3	58	turn	turn	NOUN
cusj-5570	3	59	necessitates	necessitate	VERB
cusj-5570	3	60	a	a	DET
cusj-5570	3	61	classification	classification	NOUN
cusj-5570	3	62	scheme	scheme	NOUN
cusj-5570	3	63	of	of	ADP
cusj-5570	3	64	neocortical	neocortical	ADJ
cusj-5570	3	65	neurons	neuron	NOUN
cusj-5570	3	66	.	.	PUNCT
cusj-5570	4	1	the	the	DET
cusj-5570	4	2	neocortex	neocortex	NOUN
cusj-5570	4	3	consists	consist	VERB
cusj-5570	4	4	primarily	primarily	ADV
cusj-5570	4	5	of	of	ADP
cusj-5570	4	6	excitatory	excitatory	NOUN
cusj-5570	4	7	pyramidal	pyramidal	ADJ
cusj-5570	4	8	neurons	neuron	NOUN
cusj-5570	4	9	(	(	PUNCT
cusj-5570	4	10	~80	~80	NOUN
cusj-5570	4	11	%	%	NOUN
cusj-5570	4	12	of	of	ADP
cusj-5570	4	13	neocortical	neocortical	ADJ
cusj-5570	4	14	neurons	neuron	NOUN
cusj-5570	4	15	)	)	PUNCT
cusj-5570	4	16	and	and	CCONJ
cusj-5570	4	17	inhibitory	inhibitory	ADJ
cusj-5570	4	18	interneurons	interneuron	NOUN
cusj-5570	4	19	(	(	PUNCT
cusj-5570	4	20	~20	~20	ADP
cusj-5570	4	21	%	%	NOUN
cusj-5570	4	22	of	of	ADP
cusj-5570	4	23	neocortical	neocortical	ADJ
cusj-5570	4	24	neurons	neuron	NOUN
cusj-5570	4	25	)	)	PUNCT
cusj-5570	4	26	.	.	PUNCT
cusj-5570	5	1	neocortical	neocortical	ADJ
cusj-5570	5	2	interneurons	interneuron	NOUN
cusj-5570	5	3	are	be	AUX
cusj-5570	5	4	ideally	ideally	ADV
cusj-5570	5	5	positioned	position	VERB
cusj-5570	5	6	to	to	PART
cusj-5570	5	7	control	control	VERB
cusj-5570	5	8	circuit	circuit	NOUN
cusj-5570	5	9	dynamics	dynamic	NOUN
cusj-5570	5	10	.	.	PUNCT
cusj-5570	6	1	gabaergic	gabaergic	ADJ
cusj-5570	6	2	interneurons	interneuron	NOUN
cusj-5570	6	3	,	,	PUNCT
cusj-5570	6	4	in	in	ADP
cusj-5570	6	5	particular	particular	ADJ
cusj-5570	6	6	,	,	PUNCT
cusj-5570	6	7	largely	largely	ADV
cusj-5570	6	8	contribute	contribute	VERB
cusj-5570	6	9	to	to	ADP
cusj-5570	6	10	the	the	DET
cusj-5570	6	11	vast	vast	ADJ
cusj-5570	6	12	morphological	morphological	ADJ
cusj-5570	6	13	and	and	CCONJ
cusj-5570	6	14	physiological	physiological	ADJ
cusj-5570	6	15	variability	variability	NOUN
cusj-5570	6	16	of	of	ADP
cusj-5570	6	17	the	the	DET
cusj-5570	6	18	cortex	cortex	NOUN
cusj-5570	6	19	.	.	PUNCT
cusj-5570	7	1	however	however	ADV
cusj-5570	7	2	,	,	PUNCT
cusj-5570	7	3	much	much	ADJ
cusj-5570	7	4	is	be	AUX
cusj-5570	7	5	still	still	ADV
cusj-5570	7	6	not	not	PART
cusj-5570	7	7	known	know	VERB
cusj-5570	7	8	regarding	regard	VERB
cusj-5570	7	9	these	these	DET
cusj-5570	7	10	interneurons	interneuron	NOUN
cusj-5570	7	11	.	.	PUNCT
cusj-5570	8	1	here	here	ADV
cusj-5570	8	2	we	we	PRON
cusj-5570	8	3	use	use	VERB
cusj-5570	8	4	unsupervised	unsupervised	ADJ
cusj-5570	8	5	learning	learning	NOUN
cusj-5570	8	6	methods	method	NOUN
cusj-5570	8	7	,	,	PUNCT
cusj-5570	8	8	such	such	ADJ
cusj-5570	8	9	as	as	ADP
cusj-5570	8	10	pca	pca	PROPN
cusj-5570	8	11	followed	follow	VERB
cusj-5570	8	12	by	by	ADP
cusj-5570	8	13	k	k	PROPN
cusj-5570	8	14	-	-	PUNCT
cusj-5570	8	15	means	mean	VERB
cusj-5570	8	16	analysis	analysis	NOUN
cusj-5570	8	17	,	,	PUNCT
cusj-5570	8	18	to	to	PART
cusj-5570	8	19	create	create	VERB
cusj-5570	8	20	quantitative	quantitative	ADJ
cusj-5570	8	21	and	and	CCONJ
cusj-5570	8	22	unbiased	unbiased	ADJ
cusj-5570	8	23	classification	classification	NOUN
cusj-5570	8	24	schemes	scheme	NOUN
cusj-5570	8	25	.	.	PUNCT
cusj-5570	9	1	we	we	PRON
cusj-5570	9	2	explored	explore	VERB
cusj-5570	9	3	the	the	DET
cusj-5570	9	4	use	use	NOUN
cusj-5570	9	5	of	of	ADP
cusj-5570	9	6	affinity	affinity	NOUN
cusj-5570	9	7	propagation	propagation	NOUN
cusj-5570	9	8	,	,	PUNCT
cusj-5570	9	9	a	a	DET
cusj-5570	9	10	novel	novel	ADJ
cusj-5570	9	11	exemplar	exemplar	NOUN
cusj-5570	9	12	-	-	PUNCT
cusj-5570	9	13	based	base	VERB
cusj-5570	9	14	method	method	NOUN
cusj-5570	9	15	of	of	ADP
cusj-5570	9	16	cluster	cluster	NOUN
cusj-5570	9	17	analysis	analysis	NOUN
cusj-5570	9	18	,	,	PUNCT
cusj-5570	9	19	to	to	PART
cusj-5570	9	20	quantitatively	quantitatively	ADV
cusj-5570	9	21	classify	classify	VERB
cusj-5570	9	22	a	a	DET
cusj-5570	9	23	diverse	diverse	ADJ
cusj-5570	9	24	set	set	NOUN
cusj-5570	9	25	of	of	ADP
cusj-5570	9	26	337	337	NUM
cusj-5570	9	27	neocortical	neocortical	ADJ
cusj-5570	9	28	interneurons	interneuron	NOUN
cusj-5570	9	29	.	.	PUNCT
cusj-5570	10	1	each	each	DET
cusj-5570	10	2	neuron	neuron	NOUN
cusj-5570	10	3	was	be	AUX
cusj-5570	10	4	characterized	characterize	VERB
cusj-5570	10	5	by	by	ADP
cusj-5570	10	6	wholecell	wholecell	NOUN
cusj-5570	10	7	recordings	recording	NOUN
cusj-5570	10	8	done	do	VERB
cusj-5570	10	9	by	by	ADP
cusj-5570	10	10	patch	patch	NOUN
cusj-5570	10	11	-	-	PUNCT
cusj-5570	10	12	clamping	clamp	VERB
cusj-5570	10	13	and	and	CCONJ
cusj-5570	10	14	complete	complete	ADJ
cusj-5570	10	15	3d	3d	NUM
cusj-5570	10	16	anatomical	anatomical	ADJ
cusj-5570	10	17	reconstructions	reconstruction	NOUN
cusj-5570	10	18	.	.	PUNCT
cusj-5570	11	1	it	it	PRON
cusj-5570	11	2	was	be	AUX
cusj-5570	11	3	revealed	reveal	VERB
cusj-5570	11	4	that	that	SCONJ
cusj-5570	11	5	each	each	DET
cusj-5570	11	6	interneuron	interneuron	NOUN
cusj-5570	11	7	subtype	subtype	NOUN
cusj-5570	11	8	is	be	AUX
cusj-5570	11	9	characterized	characterize	VERB
cusj-5570	11	10	by	by	ADP
cusj-5570	11	11	a	a	DET
cusj-5570	11	12	unique	unique	ADJ
cusj-5570	11	13	set	set	NOUN
cusj-5570	11	14	of	of	ADP
cusj-5570	11	15	morphological	morphological	ADJ
cusj-5570	11	16	and	and	CCONJ
cusj-5570	11	17	electrophysiological	electrophysiological	ADJ
cusj-5570	11	18	features	feature	NOUN
cusj-5570	11	19	that	that	PRON
cusj-5570	11	20	allowed	allow	VERB
cusj-5570	11	21	for	for	ADP
cusj-5570	11	22	specialized	specialized	ADJ
cusj-5570	11	23	function	function	NOUN
cusj-5570	11	24	within	within	ADP
cusj-5570	11	25	the	the	DET
cusj-5570	11	26	neocortical	neocortical	ADJ
cusj-5570	11	27	circuit	circuit	NOUN
cusj-5570	11	28	.	.	PUNCT
cusj-5570	12	1	affinity	affinity	NOUN
cusj-5570	12	2	propagation	propagation	NOUN
cusj-5570	12	3	may	may	AUX
cusj-5570	12	4	then	then	ADV
cusj-5570	12	5	be	be	AUX
cusj-5570	12	6	used	use	VERB
cusj-5570	12	7	to	to	PART
cusj-5570	12	8	classify	classify	VERB
cusj-5570	12	9	neurons	neuron	NOUN
cusj-5570	12	10	,	,	PUNCT
cusj-5570	12	11	the	the	DET
cusj-5570	12	12	first	first	ADJ
cusj-5570	12	13	step	step	NOUN
cusj-5570	12	14	to	to	PART
cusj-5570	12	15	reverse	reverse	VERB
cusj-5570	12	16	engineer	engineer	VERB
cusj-5570	12	17	a	a	DET
cusj-5570	12	18	neocortical	neocortical	ADJ
cusj-5570	12	19	circuit	circuit	NOUN
cusj-5570	12	20	.	.	PUNCT
cusj-5570	13	1	introduction	introduction	NOUN
cusj-5570	13	2	developmental	developmental	ADJ
cusj-5570	13	3	neuroscience	neuroscience	NOUN
cusj-5570	13	4	is	be	AUX
cusj-5570	13	5	an	an	DET
cusj-5570	13	6	emerging	emerge	VERB
cusj-5570	13	7	field	field	NOUN
cusj-5570	13	8	that	that	PRON
cusj-5570	13	9	harnesses	harness	VERB
cusj-5570	13	10	powerful	powerful	ADJ
cusj-5570	13	11	computational	computational	ADJ
cusj-5570	13	12	and	and	CCONJ
cusj-5570	13	13	mathematical	mathematical	ADJ
cusj-5570	13	14	techniques	technique	NOUN
cusj-5570	13	15	to	to	PART
cusj-5570	13	16	model	model	VERB
cusj-5570	13	17	the	the	DET
cusj-5570	13	18	brain	brain	NOUN
cusj-5570	13	19	.	.	PUNCT
cusj-5570	14	1	the	the	DET
cusj-5570	14	2	goal	goal	NOUN
cusj-5570	14	3	of	of	ADP
cusj-5570	14	4	our	our	PRON
cusj-5570	14	5	research	research	NOUN
cusj-5570	14	6	is	be	AUX
cusj-5570	14	7	to	to	PART
cusj-5570	14	8	build	build	VERB
cusj-5570	14	9	a	a	DET
cusj-5570	14	10	classification	classification	NOUN
cusj-5570	14	11	scheme	scheme	NOUN
cusj-5570	14	12	of	of	ADP
cusj-5570	14	13	all	all	DET
cusj-5570	14	14	neocortical	neocortical	ADJ
cusj-5570	14	15	neurons	neuron	NOUN
cusj-5570	14	16	in	in	ADP
cusj-5570	14	17	a	a	DET
cusj-5570	14	18	major	major	ADJ
cusj-5570	14	19	effort	effort	NOUN
cusj-5570	14	20	to	to	PART
cusj-5570	14	21	determine	determine	VERB
cusj-5570	14	22	the	the	DET
cusj-5570	14	23	circuitry	circuitry	NOUN
cusj-5570	14	24	of	of	ADP
cusj-5570	14	25	the	the	DET
cusj-5570	14	26	neocortex	neocortex	NOUN
cusj-5570	14	27	.	.	PUNCT
cusj-5570	15	1	the	the	DET
cusj-5570	15	2	neocortex	neocortex	NOUN
cusj-5570	15	3	is	be	AUX
cusj-5570	15	4	the	the	DET
cusj-5570	15	5	top	top	ADJ
cusj-5570	15	6	layer	layer	NOUN
cusj-5570	15	7	of	of	ADP
cusj-5570	15	8	the	the	DET
cusj-5570	15	9	cerebral	cerebral	ADJ
cusj-5570	15	10	hemispheres	hemisphere	NOUN
cusj-5570	15	11	and	and	CCONJ
cusj-5570	15	12	is	be	AUX
cusj-5570	15	13	about	about	ADV
cusj-5570	15	14	2	2	NUM
cusj-5570	15	15	to	to	PART
cusj-5570	15	16	4	4	NUM
cusj-5570	15	17	mm	mm	NOUN
cusj-5570	15	18	thick	thick	ADJ
cusj-5570	15	19	.	.	PUNCT
cusj-5570	16	1	it	it	PRON
cusj-5570	16	2	is	be	AUX
cusj-5570	16	3	composed	compose	VERB
cusj-5570	16	4	of	of	ADP
cusj-5570	16	5	six	six	NUM
cusj-5570	16	6	layers	layer	NOUN
cusj-5570	16	7	,	,	PUNCT
cusj-5570	16	8	labeled	label	VERB
cusj-5570	16	9	i	i	PRON
cusj-5570	16	10	to	to	ADP
cusj-5570	16	11	vi	vi	PROPN
cusj-5570	16	12	(	(	PUNCT
cusj-5570	16	13	with	with	ADP
cusj-5570	16	14	i	i	PRON
cusj-5570	16	15	being	be	AUX
cusj-5570	16	16	the	the	DET
cusj-5570	16	17	outermost	outermost	ADJ
cusj-5570	16	18	layer	layer	NOUN
cusj-5570	16	19	and	and	CCONJ
cusj-5570	16	20	vi	vi	NOUN
cusj-5570	16	21	being	be	AUX
cusj-5570	16	22	the	the	DET
cusj-5570	16	23	innermost	innermost	ADJ
cusj-5570	16	24	layer	layer	NOUN
cusj-5570	16	25	)	)	PUNCT
cusj-5570	16	26	.	.	PUNCT
cusj-5570	17	1	along	along	ADP
cusj-5570	17	2	with	with	ADP
cusj-5570	17	3	the	the	DET
cusj-5570	17	4	archicortex	archicortex	NOUN
cusj-5570	17	5	and	and	CCONJ
cusj-5570	17	6	paleocortex	paleocortex	NOUN
cusj-5570	17	7	,	,	PUNCT
cusj-5570	17	8	the	the	DET
cusj-5570	17	9	neocortex	neocortex	NOUN
cusj-5570	17	10	is	be	AUX
cusj-5570	17	11	one	one	NUM
cusj-5570	17	12	of	of	ADP
cusj-5570	17	13	three	three	NUM
cusj-5570	17	14	components	component	NOUN
cusj-5570	17	15	of	of	ADP
cusj-5570	17	16	the	the	DET
cusj-5570	17	17	cerebral	cerebral	ADJ
cusj-5570	17	18	cortex	cortex	NOUN
cusj-5570	17	19	,	,	PUNCT
cusj-5570	17	20	accounting	account	VERB
cusj-5570	17	21	for	for	ADP
cusj-5570	17	22	76	76	NUM
cusj-5570	17	23	%	%	NOUN
cusj-5570	17	24	of	of	ADP
cusj-5570	17	25	the	the	DET
cusj-5570	17	26	volume	volume	NOUN
cusj-5570	17	27	of	of	ADP
cusj-5570	17	28	the	the	DET
cusj-5570	17	29	cerebral	cerebral	ADJ
cusj-5570	17	30	cortex	cortex	NOUN
cusj-5570	17	31	.	.	PUNCT
cusj-5570	18	1	the	the	DET
cusj-5570	18	2	neocortex	neocortex	NOUN
cusj-5570	18	3	is	be	AUX
cusj-5570	18	4	one	one	NUM
cusj-5570	18	5	of	of	ADP
cusj-5570	18	6	the	the	DET
cusj-5570	18	7	most	most	ADV
cusj-5570	18	8	significant	significant	ADJ
cusj-5570	18	9	components	component	NOUN
cusj-5570	18	10	of	of	ADP
cusj-5570	18	11	the	the	DET
cusj-5570	18	12	brain	brain	NOUN
cusj-5570	18	13	and	and	CCONJ
cusj-5570	18	14	is	be	AUX
cusj-5570	18	15	involved	involve	VERB
cusj-5570	18	16	in	in	ADP
cusj-5570	18	17	higher	high	ADJ
cusj-5570	18	18	mental	mental	ADJ
cusj-5570	18	19	functions	function	NOUN
cusj-5570	18	20	such	such	ADJ
cusj-5570	18	21	as	as	ADP
cusj-5570	18	22	perception	perception	NOUN
cusj-5570	18	23	,	,	PUNCT
cusj-5570	18	24	memory	memory	NOUN
cusj-5570	18	25	,	,	PUNCT
cusj-5570	18	26	imagination	imagination	NOUN
cusj-5570	18	27	,	,	PUNCT
cusj-5570	18	28	language	language	NOUN
cusj-5570	18	29	,	,	PUNCT
cusj-5570	18	30	and	and	CCONJ
cusj-5570	18	31	music	music	NOUN
cusj-5570	18	32	.	.	PUNCT
cusj-5570	19	1	since	since	SCONJ
cusj-5570	19	2	the	the	DET
cusj-5570	19	3	neocortex	neocortex	NOUN
cusj-5570	19	4	participates	participate	VERB
cusj-5570	19	5	in	in	ADP
cusj-5570	19	6	such	such	DET
cusj-5570	19	7	a	a	DET
cusj-5570	19	8	vast	vast	ADJ
cusj-5570	19	9	array	array	NOUN
cusj-5570	19	10	of	of	ADP
cusj-5570	19	11	computational	computational	ADJ
cusj-5570	19	12	tasks	task	NOUN
cusj-5570	19	13	,	,	PUNCT
cusj-5570	19	14	it	it	PRON
cusj-5570	19	15	is	be	AUX
cusj-5570	19	16	often	often	ADV
cusj-5570	19	17	compared	compare	VERB
cusj-5570	19	18	to	to	ADP
cusj-5570	19	19	a	a	DET
cusj-5570	19	20	parallel	parallel	ADJ
cusj-5570	19	21	computer	computer	NOUN
cusj-5570	19	22	,	,	PUNCT
cusj-5570	19	23	which	which	PRON
cusj-5570	19	24	can	can	AUX
cusj-5570	19	25	carry	carry	VERB
cusj-5570	19	26	out	out	ADP
cusj-5570	19	27	multiple	multiple	ADJ
cusj-5570	19	28	calculations	calculation	NOUN
cusj-5570	19	29	simultaneously	simultaneously	ADV
cusj-5570	19	30	.	.	PUNCT
cusj-5570	20	1	the	the	DET
cusj-5570	20	2	underlying	underlying	ADJ
cusj-5570	20	3	principle	principle	NOUN
cusj-5570	20	4	of	of	ADP
cusj-5570	20	5	parallel	parallel	ADJ
cusj-5570	20	6	computing	computing	NOUN
cusj-5570	20	7	is	be	AUX
cusj-5570	20	8	that	that	SCONJ
cusj-5570	20	9	large	large	ADJ
cusj-5570	20	10	problems	problem	NOUN
cusj-5570	20	11	can	can	AUX
cusj-5570	20	12	be	be	AUX
cusj-5570	20	13	divided	divide	VERB
cusj-5570	20	14	into	into	ADP
cusj-5570	20	15	smaller	small	ADJ
cusj-5570	20	16	ones	one	NOUN
cusj-5570	20	17	,	,	PUNCT
cusj-5570	20	18	which	which	PRON
cusj-5570	20	19	are	be	AUX
cusj-5570	20	20	then	then	ADV
cusj-5570	20	21	solved	solve	VERB
cusj-5570	20	22	concurrently	concurrently	ADV
cusj-5570	20	23	or	or	CCONJ
cusj-5570	20	24	“	"	PUNCT
cusj-5570	20	25	in	in	ADP
cusj-5570	20	26	parallel	parallel	NOUN
cusj-5570	20	27	.	.	PUNCT
cusj-5570	20	28	”	"	PUNCT
cusj-5570	21	1	in	in	ADP
cusj-5570	21	2	other	other	ADJ
cusj-5570	21	3	words	word	NOUN
cusj-5570	21	4	,	,	PUNCT
cusj-5570	21	5	many	many	ADJ
cusj-5570	21	6	computing	compute	VERB
cusj-5570	21	7	elements	element	NOUN
cusj-5570	21	8	are	be	AUX
cusj-5570	21	9	wired	wire	VERB
cusj-5570	21	10	together	together	ADV
cusj-5570	21	11	and	and	CCONJ
cusj-5570	21	12	then	then	ADV
cusj-5570	21	13	operate	operate	VERB
cusj-5570	21	14	in	in	ADP
cusj-5570	21	15	parallel	parallel	NOUN
cusj-5570	21	16	.	.	PUNCT
cusj-5570	22	1	furthermore	furthermore	ADV
cusj-5570	22	2	,	,	PUNCT
cusj-5570	22	3	for	for	ADP
cusj-5570	22	4	every	every	DET
cusj-5570	22	5	computing	computing	NOUN
cusj-5570	22	6	element	element	NOUN
cusj-5570	22	7	added	add	VERB
cusj-5570	22	8	,	,	PUNCT
cusj-5570	22	9	it	it	PRON
cusj-5570	22	10	is	be	AUX
cusj-5570	22	11	often	often	ADV
cusj-5570	22	12	necessary	necessary	ADJ
cusj-5570	22	13	to	to	PART
cusj-5570	22	14	add	add	VERB
cusj-5570	22	15	new	new	ADJ
cusj-5570	22	16	wires	wire	NOUN
cusj-5570	22	17	from	from	ADP
cusj-5570	22	18	the	the	DET
cusj-5570	22	19	new	new	ADJ
cusj-5570	22	20	addition	addition	NOUN
cusj-5570	22	21	to	to	ADP
cusj-5570	22	22	existing	exist	VERB
cusj-5570	22	23	elements	element	NOUN
cusj-5570	22	24	.	.	PUNCT
cusj-5570	23	1	thus	thus	ADV
cusj-5570	23	2	,	,	PUNCT
cusj-5570	23	3	the	the	DET
cusj-5570	23	4	number	number	NOUN
cusj-5570	23	5	of	of	ADP
cusj-5570	23	6	wires	wire	NOUN
cusj-5570	23	7	increases	increase	VERB
cusj-5570	23	8	much	much	ADV
cusj-5570	23	9	more	more	ADV
cusj-5570	23	10	rapidly	rapidly	ADV
cusj-5570	23	11	than	than	ADP
cusj-5570	23	12	the	the	DET
cusj-5570	23	13	number	number	NOUN
cusj-5570	23	14	of	of	ADP
cusj-5570	23	15	computers	computer	NOUN
cusj-5570	23	16	:	:	PUNCT
cusj-5570	23	17	3	3	NUM
cusj-5570	23	18	wires	wire	NOUN
cusj-5570	23	19	for	for	ADP
cusj-5570	23	20	3	3	NUM
cusj-5570	23	21	computers	computer	NOUN
cusj-5570	23	22	,	,	PUNCT
cusj-5570	23	23	6	6	NUM
cusj-5570	23	24	wires	wire	NOUN
cusj-5570	23	25	for	for	ADP
cusj-5570	23	26	4	4	NUM
cusj-5570	23	27	computers	computer	NOUN
cusj-5570	23	28	,	,	PUNCT
cusj-5570	23	29	10	10	NUM
cusj-5570	23	30	wires	wire	NOUN
cusj-5570	23	31	for	for	ADP
cusj-5570	23	32	5	5	NUM
cusj-5570	23	33	computers	computer	NOUN
cusj-5570	23	34	,	,	PUNCT
cusj-5570	23	35	and	and	CCONJ
cusj-5570	23	36	so	so	ADV
cusj-5570	23	37	on	on	ADV
cusj-5570	23	38	.	.	PUNCT
cusj-5570	24	1	extending	extend	VERB
cusj-5570	24	2	this	this	DET
cusj-5570	24	3	analogy	analogy	NOUN
cusj-5570	24	4	to	to	ADP
cusj-5570	24	5	the	the	DET
cusj-5570	24	6	brain	brain	NOUN
cusj-5570	24	7	,	,	PUNCT
cusj-5570	24	8	we	we	PRON
cusj-5570	24	9	would	would	AUX
cusj-5570	24	10	need	need	VERB
cusj-5570	24	11	a	a	DET
cusj-5570	24	12	brain	brain	NOUN
cusj-5570	24	13	the	the	DET
cusj-5570	24	14	size	size	NOUN
cusj-5570	24	15	a	a	DET
cusj-5570	24	16	football	football	NOUN
cusj-5570	24	17	field	field	NOUN
cusj-5570	24	18	to	to	PART
cusj-5570	24	19	encompass	encompass	VERB
cusj-5570	24	20	billions	billion	NOUN
cusj-5570	24	21	of	of	ADP
cusj-5570	24	22	neurons	neuron	NOUN
cusj-5570	24	23	(	(	PUNCT
cusj-5570	24	24	biological	biological	ADJ
cusj-5570	24	25	computing	computing	NOUN
cusj-5570	24	26	elements	element	NOUN
cusj-5570	24	27	)	)	PUNCT
cusj-5570	24	28	that	that	PRON
cusj-5570	24	29	are	be	AUX
cusj-5570	24	30	all	all	ADV
cusj-5570	24	31	wired	wire	VERB
cusj-5570	24	32	together	together	ADV
cusj-5570	24	33	.	.	PUNCT
cusj-5570	25	1	a	a	DET
cusj-5570	25	2	real	real	ADJ
cusj-5570	25	3	brain	brain	NOUN
cusj-5570	25	4	however	however	ADV
cusj-5570	25	5	selectively	selectively	ADV
cusj-5570	25	6	wires	wire	VERB
cusj-5570	25	7	neurons	neuron	NOUN
cusj-5570	25	8	together	together	ADV
cusj-5570	25	9	,	,	PUNCT
cusj-5570	25	10	omitting	omit	VERB
cusj-5570	25	11	any	any	DET
cusj-5570	25	12	unneeded	unneeded	ADJ
cusj-5570	25	13	wires	wire	NOUN
cusj-5570	25	14	(	(	PUNCT
cusj-5570	25	15	axons	axon	NOUN
cusj-5570	25	16	)	)	PUNCT
cusj-5570	25	17	for	for	ADP
cusj-5570	25	18	proper	proper	ADJ
cusj-5570	25	19	function	function	NOUN
cusj-5570	25	20	.	.	PUNCT
cusj-5570	26	1	this	this	DET
cusj-5570	26	2	simple	simple	ADJ
cusj-5570	26	3	mathematical	mathematical	ADJ
cusj-5570	26	4	analogy	analogy	NOUN
cusj-5570	26	5	hints	hint	VERB
cusj-5570	26	6	at	at	ADP
cusj-5570	26	7	many	many	ADJ
cusj-5570	26	8	aspects	aspect	NOUN
cusj-5570	26	9	of	of	ADP
cusj-5570	26	10	the	the	DET
cusj-5570	26	11	brain	brain	NOUN
cusj-5570	26	12	.	.	PUNCT
cusj-5570	27	1	for	for	ADP
cusj-5570	27	2	instance	instance	NOUN
cusj-5570	27	3	,	,	PUNCT
cusj-5570	27	4	as	as	SCONJ
cusj-5570	27	5	mammals	mammal	NOUN
cusj-5570	27	6	grow	grow	VERB
cusj-5570	27	7	larger	large	ADJ
cusj-5570	27	8	with	with	ADP
cusj-5570	27	9	evolution	evolution	NOUN
cusj-5570	27	10	,	,	PUNCT
cusj-5570	27	11	the	the	DET
cusj-5570	27	12	brain	brain	NOUN
cusj-5570	27	13	similarly	similarly	ADV
cusj-5570	27	14	increases	increase	VERB
cusj-5570	27	15	in	in	ADP
cusj-5570	27	16	size	size	NOUN
cusj-5570	27	17	,	,	PUNCT
cusj-5570	27	18	and	and	CCONJ
cusj-5570	27	19	the	the	DET
cusj-5570	27	20	“	"	PUNCT
cusj-5570	27	21	cost	cost	NOUN
cusj-5570	27	22	”	"	PUNCT
cusj-5570	27	23	of	of	ADP
cusj-5570	27	24	wires	wire	NOUN
cusj-5570	27	25	grows	grow	VERB
cusj-5570	27	26	severe	severe	ADJ
cusj-5570	27	27	.	.	PUNCT
cusj-5570	28	1	neuroanatomical	neuroanatomical	ADJ
cusj-5570	28	2	studies	study	NOUN
cusj-5570	28	3	have	have	AUX
cusj-5570	28	4	quantitatively	quantitatively	ADV
cusj-5570	28	5	shown	show	VERB
cusj-5570	28	6	that	that	SCONJ
cusj-5570	28	7	the	the	DET
cusj-5570	28	8	number	number	NOUN
cusj-5570	28	9	of	of	ADP
cusj-5570	28	10	copyright	copyright	NOUN
cusj-5570	28	11	:	:	PUNCT
cusj-5570	28	12	©	©	PROPN
cusj-5570	28	13	2014	2014	NUM
cusj-5570	28	14	the	the	DET
cusj-5570	28	15	trustees	trustee	NOUN
cusj-5570	28	16	of	of	ADP
cusj-5570	28	17	columbia	columbia	PROPN
cusj-5570	28	18	university	university	PROPN
cusj-5570	28	19	,	,	PUNCT
cusj-5570	28	20	columbia	columbia	PROPN
cusj-5570	28	21	university	university	PROPN
cusj-5570	28	22	libraries	library	NOUN
cusj-5570	28	23	,	,	PUNCT
cusj-5570	28	24	some	some	DET
cusj-5570	28	25	rights	right	NOUN
cusj-5570	28	26	reserved	reserve	VERB
cusj-5570	28	27	,	,	PUNCT
cusj-5570	28	28	ghani	ghani	PROPN
cusj-5570	28	29	,	,	PUNCT
cusj-5570	28	30	et	et	PROPN
cusj-5570	28	31	al	al	PROPN
cusj-5570	28	32	.	.	PROPN
cusj-5570	28	33	received	receive	VERB
cusj-5570	28	34	1/1/2014	1/1/2014	PROPN
cusj-5570	28	35	.	.	PUNCT
cusj-5570	29	1	accepted	accept	VERB
cusj-5570	29	2	3/14/2014	3/14/2014	NUM
cusj-5570	29	3	.	.	PUNCT
cusj-5570	30	1	published	publish	VERB
cusj-5570	30	2	3/14/14	3/14/14	NUM
cusj-5570	30	3	.	.	PUNCT
cusj-5570	31	1	*	*	PUNCT
cusj-5570	31	2	to	to	PART
cusj-5570	31	3	whom	whom	PRON
cusj-5570	31	4	correspondence	correspondence	NOUN
cusj-5570	31	5	should	should	AUX
cusj-5570	31	6	be	be	AUX
cusj-5570	31	7	addressed	address	VERB
cusj-5570	31	8	:	:	PUNCT
cusj-5570	31	9	naureen	naureen	PROPN
cusj-5570	31	10	ghani	ghani	PROPN
cusj-5570	31	11	,	,	PUNCT
cusj-5570	31	12	columbia	columbia	PROPN
cusj-5570	31	13	university	university	PROPN
cusj-5570	31	14	,	,	PUNCT
cusj-5570	31	15	new	new	PROPN
cusj-5570	31	16	york	york	PROPN
cusj-5570	31	17	ny	ny	PROPN
cusj-5570	31	18	10027	10027	NUM
cusj-5570	31	19	,	,	PUNCT
cusj-5570	31	20	email	email	NOUN
cusj-5570	31	21	:	:	PUNCT
cusj-5570	31	22	ng2410@columbia.edu	ng2410@columbia.edu	PROPN
cusj-5570	31	23	.	.	PROPN
cusj-5570	31	24	neuroscience	neuroscience	PROPN
cusj-5570	31	25	columbia	columbia	PROPN
cusj-5570	31	26	undergraduate	undergraduate	PROPN
cusj-5570	31	27	science	science	PROPN
cusj-5570	31	28	journal	journal	PROPN
cusj-5570	31	29	open	open	ADJ
cusj-5570	31	30	-	-	PUNCT
cusj-5570	31	31	access	access	NOUN
cusj-5570	31	32	publication	publication	NOUN
cusj-5570	31	33	|	|	NOUN
cusj-5570	31	34	http://cusj.columbia.edu	http://cusj.columbia.edu	PROPN
cusj-5570	31	35	spring	spring	NOUN
cusj-5570	31	36	2014	2014	NUM
cusj-5570	32	1	|	|	ADV
cusj-5570	32	2	volume	volume	NOUN
cusj-5570	32	3	8	8	NUM
cusj-5570	32	4	23	23	NUM
cusj-5570	32	5	axons	axon	NOUN
cusj-5570	32	6	varies	vary	VERB
cusj-5570	32	7	greatly	greatly	ADV
cusj-5570	32	8	region	region	NOUN
cusj-5570	32	9	to	to	ADP
cusj-5570	32	10	region	region	NOUN
cusj-5570	32	11	in	in	ADP
cusj-5570	32	12	the	the	DET
cusj-5570	32	13	brain	brain	NOUN
cusj-5570	32	14	;	;	PUNCT
cusj-5570	32	15	some	some	DET
cusj-5570	32	16	areas	area	NOUN
cusj-5570	32	17	are	be	AUX
cusj-5570	32	18	heavily	heavily	ADV
cusj-5570	32	19	linked	link	VERB
cusj-5570	32	20	to	to	ADP
cusj-5570	32	21	others	other	NOUN
cusj-5570	32	22	with	with	ADP
cusj-5570	32	23	massive	massive	ADJ
cusj-5570	32	24	axon	axon	NOUN
cusj-5570	32	25	tracts	tract	NOUN
cusj-5570	32	26	while	while	SCONJ
cusj-5570	32	27	others	other	NOUN
cusj-5570	32	28	are	be	AUX
cusj-5570	32	29	far	far	ADV
cusj-5570	32	30	less	less	ADV
cusj-5570	32	31	strongly	strongly	ADV
cusj-5570	32	32	linked	link	VERB
cusj-5570	32	33	.	.	PUNCT
cusj-5570	33	1	many	many	ADJ
cusj-5570	33	2	strides	stride	NOUN
cusj-5570	33	3	have	have	AUX
cusj-5570	33	4	been	be	AUX
cusj-5570	33	5	made	make	VERB
cusj-5570	33	6	in	in	ADP
cusj-5570	33	7	understanding	understand	VERB
cusj-5570	33	8	the	the	DET
cusj-5570	33	9	formation	formation	NOUN
cusj-5570	33	10	and	and	CCONJ
cusj-5570	33	11	function	function	NOUN
cusj-5570	33	12	of	of	ADP
cusj-5570	33	13	neocortical	neocortical	ADJ
cusj-5570	33	14	circuits	circuit	NOUN
cusj-5570	33	15	using	use	VERB
cusj-5570	33	16	detailed	detailed	ADJ
cusj-5570	33	17	morphological	morphological	ADJ
cusj-5570	33	18	and	and	CCONJ
cusj-5570	33	19	electrophysiological	electrophysiological	ADJ
cusj-5570	33	20	analyses	analysis	NOUN
cusj-5570	33	21	of	of	ADP
cusj-5570	33	22	the	the	DET
cusj-5570	33	23	neurons	neuron	NOUN
cusj-5570	33	24	.	.	PUNCT
cusj-5570	34	1	each	each	PRON
cusj-5570	34	2	of	of	ADP
cusj-5570	34	3	these	these	DET
cusj-5570	34	4	model	model	NOUN
cusj-5570	34	5	circuits	circuit	NOUN
cusj-5570	34	6	differ	differ	VERB
cusj-5570	34	7	greatly	greatly	ADV
cusj-5570	34	8	in	in	ADP
cusj-5570	34	9	form	form	NOUN
cusj-5570	34	10	and	and	CCONJ
cusj-5570	34	11	content	content	NOUN
cusj-5570	34	12	,	,	PUNCT
cusj-5570	34	13	however	however	ADV
cusj-5570	34	14	,	,	PUNCT
cusj-5570	34	15	because	because	SCONJ
cusj-5570	34	16	they	they	PRON
cusj-5570	34	17	each	each	PRON
cusj-5570	34	18	have	have	VERB
cusj-5570	34	19	different	different	ADJ
cusj-5570	34	20	theoretical	theoretical	ADJ
cusj-5570	34	21	and	and	CCONJ
cusj-5570	34	22	experimental	experimental	ADJ
cusj-5570	34	23	considerations	consideration	NOUN
cusj-5570	34	24	.	.	PUNCT
cusj-5570	35	1	for	for	ADP
cusj-5570	35	2	historical	historical	ADJ
cusj-5570	35	3	reasons	reason	NOUN
cusj-5570	35	4	,	,	PUNCT
cusj-5570	35	5	many	many	ADJ
cusj-5570	35	6	early	early	ADJ
cusj-5570	35	7	neocortical	neocortical	ADJ
cusj-5570	35	8	circuit	circuit	NOUN
cusj-5570	35	9	models	model	NOUN
cusj-5570	35	10	are	be	AUX
cusj-5570	35	11	based	base	VERB
cusj-5570	35	12	on	on	ADP
cusj-5570	35	13	data	datum	NOUN
cusj-5570	35	14	from	from	ADP
cusj-5570	35	15	cat	cat	NOUN
cusj-5570	35	16	and	and	CCONJ
cusj-5570	35	17	primary	primary	ADJ
cusj-5570	35	18	visual	visual	ADJ
cusj-5570	35	19	cortex	cortex	NOUN
cusj-5570	35	20	.	.	PUNCT
cusj-5570	36	1	in	in	ADP
cusj-5570	36	2	recent	recent	ADJ
cusj-5570	36	3	years	year	NOUN
cusj-5570	36	4	,	,	PUNCT
cusj-5570	36	5	the	the	DET
cusj-5570	36	6	rat	rat	NOUN
cusj-5570	36	7	somatosensory	somatosensory	NOUN
cusj-5570	36	8	cortex	cortex	NOUN
cusj-5570	36	9	has	have	AUX
cusj-5570	36	10	grown	grow	VERB
cusj-5570	36	11	in	in	ADP
cusj-5570	36	12	prominence	prominence	NOUN
cusj-5570	36	13	as	as	ADP
cusj-5570	36	14	a	a	DET
cusj-5570	36	15	tool	tool	NOUN
cusj-5570	36	16	for	for	ADP
cusj-5570	36	17	understanding	understand	VERB
cusj-5570	36	18	the	the	DET
cusj-5570	36	19	cortex	cortex	NOUN
cusj-5570	36	20	.	.	PUNCT
cusj-5570	37	1	the	the	DET
cusj-5570	37	2	idea	idea	NOUN
cusj-5570	37	3	of	of	ADP
cusj-5570	37	4	a	a	DET
cusj-5570	37	5	canonical	canonical	ADJ
cusj-5570	37	6	circuit	circuit	NOUN
cusj-5570	37	7	has	have	AUX
cusj-5570	37	8	previously	previously	ADV
cusj-5570	37	9	been	be	AUX
cusj-5570	37	10	applied	apply	VERB
cusj-5570	37	11	to	to	ADP
cusj-5570	37	12	aspects	aspect	NOUN
cusj-5570	37	13	of	of	ADP
cusj-5570	37	14	the	the	DET
cusj-5570	37	15	vertebrate	vertebrate	ADJ
cusj-5570	37	16	brain	brain	NOUN
cusj-5570	37	17	and	and	CCONJ
cusj-5570	37	18	spinal	spinal	ADJ
cusj-5570	37	19	cord	cord	NOUN
cusj-5570	37	20	.	.	PUNCT
cusj-5570	38	1	it	it	PRON
cusj-5570	38	2	is	be	AUX
cusj-5570	38	3	highly	highly	ADV
cusj-5570	38	4	relevant	relevant	ADJ
cusj-5570	38	5	to	to	ADP
cusj-5570	38	6	questions	question	NOUN
cusj-5570	38	7	of	of	ADP
cusj-5570	38	8	evolution	evolution	NOUN
cusj-5570	38	9	,	,	PUNCT
cusj-5570	38	10	development	development	NOUN
cusj-5570	38	11	,	,	PUNCT
cusj-5570	38	12	and	and	CCONJ
cusj-5570	38	13	homology	homology	NOUN
cusj-5570	38	14	of	of	ADP
cusj-5570	38	15	form	form	NOUN
cusj-5570	38	16	and	and	CCONJ
cusj-5570	38	17	function	function	NOUN
cusj-5570	38	18	.	.	PUNCT
cusj-5570	39	1	supporting	support	VERB
cusj-5570	39	2	this	this	DET
cusj-5570	39	3	idea	idea	NOUN
cusj-5570	39	4	is	be	AUX
cusj-5570	39	5	the	the	DET
cusj-5570	39	6	close	close	ADJ
cusj-5570	39	7	similarities	similarity	NOUN
cusj-5570	39	8	in	in	ADP
cusj-5570	39	9	basic	basic	ADJ
cusj-5570	39	10	organization	organization	NOUN
cusj-5570	39	11	across	across	ADP
cusj-5570	39	12	vertebrate	vertebrate	ADJ
cusj-5570	39	13	brains	brain	NOUN
cusj-5570	39	14	.	.	PUNCT
cusj-5570	40	1	similarly	similarly	ADV
cusj-5570	40	2	,	,	PUNCT
cusj-5570	40	3	recognizable	recognizable	ADJ
cusj-5570	40	4	neuronal	neuronal	ADJ
cusj-5570	40	5	subtypes	subtype	NOUN
cusj-5570	40	6	have	have	AUX
cusj-5570	40	7	been	be	AUX
cusj-5570	40	8	found	find	VERB
cusj-5570	40	9	across	across	ADP
cusj-5570	40	10	the	the	DET
cusj-5570	40	11	neocortices	neocortice	NOUN
cusj-5570	40	12	of	of	ADP
cusj-5570	40	13	different	different	ADJ
cusj-5570	40	14	mammalian	mammalian	ADJ
cusj-5570	40	15	species15	species15	NOUN
cusj-5570	40	16	.	.	PUNCT
cusj-5570	41	1	for	for	ADP
cusj-5570	41	2	these	these	DET
cusj-5570	41	3	reasons	reason	NOUN
cusj-5570	41	4	,	,	PUNCT
cusj-5570	41	5	we	we	PRON
cusj-5570	41	6	hypothesize	hypothesize	VERB
cusj-5570	41	7	the	the	DET
cusj-5570	41	8	existence	existence	NOUN
cusj-5570	41	9	of	of	ADP
cusj-5570	41	10	a	a	DET
cusj-5570	41	11	canonical	canonical	ADJ
cusj-5570	41	12	cortical	cortical	ADJ
cusj-5570	41	13	microcircuit	microcircuit	NOUN
cusj-5570	41	14	and	and	CCONJ
cusj-5570	41	15	it	it	PRON
cusj-5570	41	16	implements	implement	VERB
cusj-5570	41	17	a	a	DET
cusj-5570	41	18	relatively	relatively	ADV
cusj-5570	41	19	simple	simple	ADJ
cusj-5570	41	20	computation	computation	NOUN
cusj-5570	41	21	.	.	PUNCT
cusj-5570	42	1	to	to	PART
cusj-5570	42	2	create	create	VERB
cusj-5570	42	3	a	a	DET
cusj-5570	42	4	neocortical	neocortical	ADJ
cusj-5570	42	5	circuit	circuit	NOUN
cusj-5570	42	6	model	model	NOUN
cusj-5570	42	7	,	,	PUNCT
cusj-5570	42	8	a	a	DET
cusj-5570	42	9	classification	classification	NOUN
cusj-5570	42	10	scheme	scheme	NOUN
cusj-5570	42	11	must	must	AUX
cusj-5570	42	12	first	first	ADV
cusj-5570	42	13	be	be	AUX
cusj-5570	42	14	established	establish	VERB
cusj-5570	42	15	to	to	PART
cusj-5570	42	16	outline	outline	VERB
cusj-5570	42	17	the	the	DET
cusj-5570	42	18	components	component	NOUN
cusj-5570	42	19	of	of	ADP
cusj-5570	42	20	the	the	DET
cusj-5570	42	21	cortex	cortex	NOUN
cusj-5570	42	22	.	.	PUNCT
cusj-5570	43	1	in	in	ADP
cusj-5570	43	2	the	the	DET
cusj-5570	43	3	past	past	NOUN
cusj-5570	43	4	,	,	PUNCT
cusj-5570	43	5	cell	cell	NOUN
cusj-5570	43	6	type	type	NOUN
cusj-5570	43	7	classification	classification	NOUN
cusj-5570	43	8	was	be	AUX
cusj-5570	43	9	qualitative	qualitative	VERB
cusj-5570	43	10	and	and	CCONJ
cusj-5570	43	11	led	lead	VERB
cusj-5570	43	12	to	to	ADP
cusj-5570	43	13	inconsistent	inconsistent	ADJ
cusj-5570	43	14	subtypes	subtype	NOUN
cusj-5570	43	15	.	.	PUNCT
cusj-5570	44	1	in	in	ADP
cusj-5570	44	2	recent	recent	ADJ
cusj-5570	44	3	years	year	NOUN
cusj-5570	44	4	,	,	PUNCT
cusj-5570	44	5	the	the	DET
cusj-5570	44	6	standard	standard	ADJ
cusj-5570	44	7	method	method	NOUN
cusj-5570	44	8	for	for	ADP
cusj-5570	44	9	classification	classification	NOUN
cusj-5570	44	10	of	of	ADP
cusj-5570	44	11	neurons	neuron	NOUN
cusj-5570	44	12	has	have	AUX
cusj-5570	44	13	been	be	AUX
cusj-5570	44	14	quantified	quantify	VERB
cusj-5570	44	15	through	through	ADP
cusj-5570	44	16	unsupervised	unsupervised	ADJ
cusj-5570	44	17	cluster	cluster	NOUN
cusj-5570	44	18	analysis2	analysis2	NOUN
cusj-5570	44	19	,	,	PUNCT
cusj-5570	44	20	4	4	NUM
cusj-5570	44	21	,	,	PUNCT
cusj-5570	44	22	7	7	NUM
cusj-5570	44	23	,	,	PUNCT
cusj-5570	44	24	8	8	NUM
cusj-5570	44	25	,	,	PUNCT
cusj-5570	44	26	9	9	NUM
cusj-5570	44	27	,	,	PUNCT
cusj-5570	44	28	11	11	NUM
cusj-5570	44	29	,	,	PUNCT
cusj-5570	44	30	12	12	NUM
cusj-5570	44	31	.	.	PUNCT
cusj-5570	45	1	unsupervised	unsupervised	ADJ
cusj-5570	45	2	cluster	cluster	NOUN
cusj-5570	45	3	analysis	analysis	NOUN
cusj-5570	45	4	is	be	AUX
cusj-5570	45	5	the	the	DET
cusj-5570	45	6	classification	classification	NOUN
cusj-5570	45	7	of	of	ADP
cusj-5570	45	8	a	a	DET
cusj-5570	45	9	set	set	NOUN
cusj-5570	45	10	of	of	ADP
cusj-5570	45	11	data	datum	NOUN
cusj-5570	45	12	or	or	CCONJ
cusj-5570	45	13	objects	object	NOUN
cusj-5570	45	14	into	into	ADP
cusj-5570	45	15	subsets	subset	NOUN
cusj-5570	45	16	(	(	PUNCT
cusj-5570	45	17	clusters	cluster	NOUN
cusj-5570	45	18	)	)	PUNCT
cusj-5570	45	19	so	so	SCONJ
cusj-5570	45	20	that	that	SCONJ
cusj-5570	45	21	the	the	DET
cusj-5570	45	22	data	datum	NOUN
cusj-5570	45	23	in	in	ADP
cusj-5570	45	24	each	each	DET
cusj-5570	45	25	subset	subset	NOUN
cusj-5570	45	26	shares	share	NOUN
cusj-5570	45	27	a	a	DET
cusj-5570	45	28	common	common	ADJ
cusj-5570	45	29	feature	feature	NOUN
cusj-5570	45	30	without	without	ADP
cusj-5570	45	31	any	any	DET
cusj-5570	45	32	prior	prior	ADJ
cusj-5570	45	33	knowledge	knowledge	NOUN
cusj-5570	45	34	.	.	PUNCT
cusj-5570	46	1	one	one	NUM
cusj-5570	46	2	widely	widely	ADV
cusj-5570	46	3	-	-	PUNCT
cusj-5570	46	4	used	use	VERB
cusj-5570	46	5	technique	technique	NOUN
cusj-5570	46	6	has	have	AUX
cusj-5570	46	7	been	be	AUX
cusj-5570	46	8	ward	ward	NOUN
cusj-5570	46	9	’s	’s	PART
cusj-5570	46	10	method	method	NOUN
cusj-5570	46	11	with	with	ADP
cusj-5570	46	12	hierarchical	hierarchical	ADJ
cusj-5570	46	13	clustering	clustering	NOUN
cusj-5570	46	14	.	.	PUNCT
cusj-5570	47	1	hierarchical	hierarchical	ADJ
cusj-5570	47	2	agglomerative	agglomerative	ADJ
cusj-5570	47	3	clustering	clustering	NOUN
cusj-5570	47	4	is	be	AUX
cusj-5570	47	5	a	a	DET
cusj-5570	47	6	bottomup	bottomup	NOUN
cusj-5570	47	7	technique	technique	NOUN
cusj-5570	47	8	and	and	CCONJ
cusj-5570	47	9	begins	begin	VERB
cusj-5570	47	10	by	by	ADP
cusj-5570	47	11	grouping	group	VERB
cusj-5570	47	12	the	the	DET
cusj-5570	47	13	two	two	NUM
cusj-5570	47	14	“	"	PUNCT
cusj-5570	47	15	closest	close	ADJ
cusj-5570	47	16	”	"	PUNCT
cusj-5570	47	17	cells	cell	NOUN
cusj-5570	47	18	as	as	SCONJ
cusj-5570	47	19	defined	define	VERB
cusj-5570	47	20	by	by	ADP
cusj-5570	47	21	the	the	DET
cusj-5570	47	22	algorithm	algorithm	NOUN
cusj-5570	47	23	,	,	PUNCT
cusj-5570	47	24	and	and	CCONJ
cusj-5570	47	25	then	then	ADV
cusj-5570	47	26	continues	continue	VERB
cusj-5570	47	27	to	to	PART
cusj-5570	47	28	join	join	VERB
cusj-5570	47	29	the	the	DET
cusj-5570	47	30	next	next	ADJ
cusj-5570	47	31	“	"	PUNCT
cusj-5570	47	32	closest	close	ADJ
cusj-5570	47	33	”	"	PUNCT
cusj-5570	47	34	cells	cell	NOUN
cusj-5570	47	35	and	and	CCONJ
cusj-5570	47	36	so	so	ADV
cusj-5570	47	37	forth	forth	ADV
cusj-5570	47	38	.	.	PUNCT
cusj-5570	48	1	this	this	DET
cusj-5570	48	2	method	method	NOUN
cusj-5570	48	3	does	do	AUX
cusj-5570	48	4	not	not	PART
cusj-5570	48	5	require	require	VERB
cusj-5570	48	6	specifying	specify	VERB
cusj-5570	48	7	the	the	DET
cusj-5570	48	8	number	number	NOUN
cusj-5570	48	9	of	of	ADP
cusj-5570	48	10	clusters	cluster	NOUN
cusj-5570	48	11	in	in	ADP
cusj-5570	48	12	advance	advance	NOUN
cusj-5570	48	13	and	and	CCONJ
cusj-5570	48	14	generates	generate	VERB
cusj-5570	48	15	smaller	small	ADJ
cusj-5570	48	16	clusters	cluster	NOUN
cusj-5570	48	17	that	that	PRON
cusj-5570	48	18	may	may	AUX
cusj-5570	48	19	be	be	AUX
cusj-5570	48	20	helpful	helpful	ADJ
cusj-5570	48	21	for	for	ADP
cusj-5570	48	22	discovery	discovery	NOUN
cusj-5570	48	23	.	.	PUNCT
cusj-5570	49	1	however	however	ADV
cusj-5570	49	2	,	,	PUNCT
cusj-5570	49	3	one	one	NUM
cusj-5570	49	4	of	of	ADP
cusj-5570	49	5	the	the	DET
cusj-5570	49	6	main	main	ADJ
cusj-5570	49	7	disadvantages	disadvantage	NOUN
cusj-5570	49	8	of	of	ADP
cusj-5570	49	9	hierarchical	hierarchical	ADJ
cusj-5570	49	10	clustering	clustering	NOUN
cusj-5570	49	11	is	be	AUX
cusj-5570	49	12	that	that	SCONJ
cusj-5570	49	13	once	once	SCONJ
cusj-5570	49	14	two	two	NUM
cusj-5570	49	15	cells	cell	NOUN
cusj-5570	49	16	are	be	AUX
cusj-5570	49	17	linked	link	VERB
cusj-5570	49	18	,	,	PUNCT
cusj-5570	49	19	they	they	PRON
cusj-5570	49	20	remain	remain	VERB
cusj-5570	49	21	joined	joined	ADJ
cusj-5570	49	22	together	together	ADV
cusj-5570	49	23	in	in	ADP
cusj-5570	49	24	the	the	DET
cusj-5570	49	25	final	final	ADJ
cusj-5570	49	26	hierarchy	hierarchy	NOUN
cusj-5570	49	27	.	.	PUNCT
cusj-5570	50	1	moreover	moreover	ADV
cusj-5570	50	2	,	,	PUNCT
cusj-5570	50	3	hierarchical	hierarchical	ADJ
cusj-5570	50	4	clustering	clustering	NOUN
cusj-5570	50	5	is	be	AUX
cusj-5570	50	6	susceptible	susceptible	ADJ
cusj-5570	50	7	to	to	ADP
cusj-5570	50	8	a	a	DET
cusj-5570	50	9	chaining	chain	VERB
cusj-5570	50	10	effect	effect	NOUN
cusj-5570	50	11	in	in	ADP
cusj-5570	50	12	which	which	PRON
cusj-5570	50	13	objects	object	NOUN
cusj-5570	50	14	may	may	AUX
cusj-5570	50	15	be	be	AUX
cusj-5570	50	16	“	"	PUNCT
cusj-5570	50	17	incorrectly	incorrectly	ADV
cusj-5570	50	18	”	"	PUNCT
cusj-5570	50	19	assigned	assign	VERB
cusj-5570	50	20	to	to	ADP
cusj-5570	50	21	a	a	DET
cusj-5570	50	22	cluster	cluster	NOUN
cusj-5570	50	23	at	at	ADP
cusj-5570	50	24	an	an	DET
cusj-5570	50	25	early	early	ADJ
cusj-5570	50	26	stage	stage	NOUN
cusj-5570	50	27	instead	instead	ADV
cusj-5570	50	28	of	of	ADP
cusj-5570	50	29	being	be	AUX
cusj-5570	50	30	grouped	group	VERB
cusj-5570	50	31	in	in	ADP
cusj-5570	50	32	new	new	ADJ
cusj-5570	50	33	clusters	cluster	NOUN
cusj-5570	50	34	.	.	PUNCT
cusj-5570	51	1	additional	additional	ADJ
cusj-5570	51	2	clustering	clustering	ADJ
cusj-5570	51	3	techniques	technique	NOUN
cusj-5570	51	4	include	include	VERB
cusj-5570	51	5	k	k	ADJ
cusj-5570	51	6	-	-	PUNCT
cusj-5570	51	7	means	mean	VERB
cusj-5570	51	8	analysis	analysis	NOUN
cusj-5570	51	9	k	k	PROPN
cusj-5570	51	10	-	-	PUNCT
cusj-5570	51	11	metoids	metoid	NOUN
cusj-5570	51	12	analysis	analysis	NOUN
cusj-5570	51	13	,	,	PUNCT
cusj-5570	51	14	and	and	CCONJ
cusj-5570	51	15	affinity	affinity	NOUN
cusj-5570	51	16	propagation	propagation	NOUN
cusj-5570	51	17	.	.	PUNCT
cusj-5570	52	1	in	in	ADP
cusj-5570	52	2	k	k	NOUN
cusj-5570	52	3	-	-	PUNCT
cusj-5570	52	4	means	mean	NOUN
cusj-5570	52	5	,	,	PUNCT
cusj-5570	52	6	each	each	DET
cusj-5570	52	7	cluster	cluster	NOUN
cusj-5570	52	8	is	be	AUX
cusj-5570	52	9	represented	represent	VERB
cusj-5570	52	10	by	by	ADP
cusj-5570	52	11	the	the	DET
cusj-5570	52	12	center	center	NOUN
cusj-5570	52	13	of	of	ADP
cusj-5570	52	14	the	the	DET
cusj-5570	52	15	cluster	cluster	NOUN
cusj-5570	52	16	and	and	CCONJ
cusj-5570	52	17	in	in	ADP
cusj-5570	52	18	kmetoids	kmetoid	NOUN
cusj-5570	52	19	analysis	analysis	NOUN
cusj-5570	52	20	,	,	PUNCT
cusj-5570	52	21	each	each	DET
cusj-5570	52	22	cluster	cluster	NOUN
cusj-5570	52	23	is	be	AUX
cusj-5570	52	24	represented	represent	VERB
cusj-5570	52	25	by	by	ADP
cusj-5570	52	26	one	one	NUM
cusj-5570	52	27	of	of	ADP
cusj-5570	52	28	the	the	DET
cusj-5570	52	29	objects	object	NOUN
cusj-5570	52	30	in	in	ADP
cusj-5570	52	31	the	the	DET
cusj-5570	52	32	cluster	cluster	NOUN
cusj-5570	52	33	.	.	PUNCT
cusj-5570	53	1	affinity	affinity	NOUN
cusj-5570	53	2	propagation	propagation	NOUN
cusj-5570	53	3	is	be	AUX
cusj-5570	53	4	one	one	NUM
cusj-5570	53	5	of	of	ADP
cusj-5570	53	6	the	the	DET
cusj-5570	53	7	most	most	ADV
cusj-5570	53	8	recently	recently	ADV
cusj-5570	53	9	developed	develop	VERB
cusj-5570	53	10	unsupervised	unsupervised	ADJ
cusj-5570	53	11	clustering	clustering	NOUN
cusj-5570	53	12	techniques	technique	NOUN
cusj-5570	53	13	.	.	PUNCT
cusj-5570	54	1	each	each	DET
cusj-5570	54	2	data	datum	NOUN
cusj-5570	54	3	point	point	NOUN
cusj-5570	54	4	is	be	AUX
cusj-5570	54	5	viewed	view	VERB
cusj-5570	54	6	as	as	ADP
cusj-5570	54	7	a	a	DET
cusj-5570	54	8	node	node	NOUN
cusj-5570	54	9	in	in	ADP
cusj-5570	54	10	a	a	DET
cusj-5570	54	11	network	network	NOUN
cusj-5570	54	12	,	,	PUNCT
cusj-5570	54	13	and	and	CCONJ
cusj-5570	54	14	realvalued	realvalue	VERB
cusj-5570	54	15	messages	message	NOUN
cusj-5570	54	16	are	be	AUX
cusj-5570	54	17	transmitted	transmit	VERB
cusj-5570	54	18	between	between	ADP
cusj-5570	54	19	the	the	DET
cusj-5570	54	20	data	data	NOUN
cusj-5570	54	21	points	point	NOUN
cusj-5570	54	22	until	until	SCONJ
cusj-5570	54	23	a	a	DET
cusj-5570	54	24	set	set	NOUN
cusj-5570	54	25	of	of	ADP
cusj-5570	54	26	exemplars	exemplar	NOUN
cusj-5570	54	27	and	and	CCONJ
cusj-5570	54	28	corresponding	correspond	VERB
cusj-5570	54	29	clusters	cluster	NOUN
cusj-5570	54	30	is	be	AUX
cusj-5570	54	31	determined	determine	VERB
cusj-5570	54	32	by	by	ADP
cusj-5570	54	33	the	the	DET
cusj-5570	54	34	algorithm	algorithm	NOUN
cusj-5570	54	35	.	.	PUNCT
cusj-5570	55	1	thus	thus	ADV
cusj-5570	55	2	,	,	PUNCT
cusj-5570	55	3	at	at	ADP
cusj-5570	55	4	any	any	DET
cusj-5570	55	5	point	point	NOUN
cusj-5570	55	6	in	in	ADP
cusj-5570	55	7	time	time	NOUN
cusj-5570	55	8	,	,	PUNCT
cusj-5570	55	9	the	the	DET
cusj-5570	55	10	magnitude	magnitude	NOUN
cusj-5570	55	11	of	of	ADP
cusj-5570	55	12	each	each	DET
cusj-5570	55	13	message	message	NOUN
cusj-5570	55	14	reflects	reflect	VERB
cusj-5570	55	15	the	the	DET
cusj-5570	55	16	current	current	ADJ
cusj-5570	55	17	affinity	affinity	NOUN
cusj-5570	55	18	that	that	PRON
cusj-5570	55	19	one	one	NUM
cusj-5570	55	20	data	data	NOUN
cusj-5570	55	21	point	point	NOUN
cusj-5570	55	22	has	have	VERB
cusj-5570	55	23	for	for	ADP
cusj-5570	55	24	choosing	choose	VERB
cusj-5570	55	25	another	another	DET
cusj-5570	55	26	data	data	NOUN
cusj-5570	55	27	point	point	NOUN
cusj-5570	55	28	as	as	ADP
cusj-5570	55	29	its	its	PRON
cusj-5570	55	30	exemplar	exemplar	NOUN
cusj-5570	55	31	,	,	PUNCT
cusj-5570	55	32	hence	hence	ADV
cusj-5570	55	33	the	the	DET
cusj-5570	55	34	name	name	NOUN
cusj-5570	55	35	of	of	ADP
cusj-5570	55	36	“	"	PUNCT
cusj-5570	55	37	affinity	affinity	NOUN
cusj-5570	55	38	propagation”6	propagation”6	NOUN
cusj-5570	55	39	.	.	PUNCT
cusj-5570	56	1	in	in	ADP
cusj-5570	56	2	this	this	DET
cusj-5570	56	3	work	work	NOUN
cusj-5570	56	4	,	,	PUNCT
cusj-5570	56	5	we	we	PRON
cusj-5570	56	6	explore	explore	VERB
cusj-5570	56	7	the	the	DET
cusj-5570	56	8	application	application	NOUN
cusj-5570	56	9	of	of	ADP
cusj-5570	56	10	affinity	affinity	NOUN
cusj-5570	56	11	propagation	propagation	NOUN
cusj-5570	56	12	to	to	ADP
cusj-5570	56	13	classification	classification	NOUN
cusj-5570	56	14	of	of	ADP
cusj-5570	56	15	neocortical	neocortical	ADJ
cusj-5570	56	16	neuronal	neuronal	ADJ
cusj-5570	56	17	subtypes	subtype	NOUN
cusj-5570	56	18	.	.	PUNCT
cusj-5570	57	1	the	the	DET
cusj-5570	57	2	algorithm	algorithm	NOUN
cusj-5570	57	3	was	be	AUX
cusj-5570	57	4	used	use	VERB
cusj-5570	57	5	to	to	PART
cusj-5570	57	6	blindly	blindly	ADV
cusj-5570	57	7	classify	classify	VERB
cusj-5570	57	8	a	a	DET
cusj-5570	57	9	test	test	NOUN
cusj-5570	57	10	dataset	dataset	NOUN
cusj-5570	57	11	of	of	ADP
cusj-5570	57	12	four	four	NUM
cusj-5570	57	13	interneuron	interneuron	NOUN
cusj-5570	57	14	subtypes	subtype	NOUN
cusj-5570	57	15	.	.	PUNCT
cusj-5570	58	1	the	the	DET
cusj-5570	58	2	dataset	dataset	NOUN
cusj-5570	58	3	included	include	VERB
cusj-5570	58	4	unlabeled	unlabeled	ADJ
cusj-5570	58	5	cells	cell	NOUN
cusj-5570	58	6	in	in	ADP
cusj-5570	58	7	addition	addition	NOUN
cusj-5570	58	8	to	to	ADP
cusj-5570	58	9	known	know	VERB
cusj-5570	58	10	cells	cell	NOUN
cusj-5570	58	11	,	,	PUNCT
cusj-5570	58	12	the	the	DET
cusj-5570	58	13	latter	latter	ADJ
cusj-5570	58	14	serving	serve	VERB
cusj-5570	58	15	as	as	ADP
cusj-5570	58	16	a	a	DET
cusj-5570	58	17	ground	ground	NOUN
cusj-5570	58	18	truth	truth	NOUN
cusj-5570	58	19	.	.	PUNCT
cusj-5570	59	1	the	the	DET
cusj-5570	59	2	dataset	dataset	NOUN
cusj-5570	59	3	is	be	AUX
cusj-5570	59	4	comprised	comprise	VERB
cusj-5570	59	5	of	of	ADP
cusj-5570	59	6	67	67	NUM
cusj-5570	59	7	morphological	morphological	ADJ
cusj-5570	59	8	variables	variable	NOUN
cusj-5570	59	9	and	and	CCONJ
cusj-5570	59	10	20	20	NUM
cusj-5570	59	11	electrophysiological	electrophysiological	ADJ
cusj-5570	59	12	variables	variable	NOUN
cusj-5570	59	13	describing	describe	VERB
cusj-5570	59	14	(	(	PUNCT
cusj-5570	59	15	1	1	NUM
cusj-5570	59	16	)	)	PUNCT
cusj-5570	59	17	parvalbumin	parvalbumin	NOUN
cusj-5570	59	18	-	-	PUNCT
cusj-5570	59	19	positive	positive	ADJ
cusj-5570	59	20	(	(	PUNCT
cusj-5570	59	21	pv+	pv+	ADJ
cusj-5570	59	22	)	)	PUNCT
cusj-5570	59	23	basket	basket	NOUN
cusj-5570	59	24	cells	cell	NOUN
cusj-5570	59	25	(	(	PUNCT
cusj-5570	59	26	bc	bc	PROPN
cusj-5570	59	27	)	)	PUNCT
cusj-5570	59	28	,	,	PUNCT
cusj-5570	59	29	(	(	PUNCT
cusj-5570	59	30	2	2	X
cusj-5570	59	31	)	)	PUNCT
cusj-5570	59	32	pv+	pv+	ADJ
cusj-5570	59	33	chandelier	chandelier	NOUN
cusj-5570	59	34	cells	cell	NOUN
cusj-5570	59	35	(	(	PUNCT
cusj-5570	59	36	chc	chc	PROPN
cusj-5570	59	37	)	)	PUNCT
cusj-5570	59	38	,	,	PUNCT
cusj-5570	59	39	(	(	PUNCT
cusj-5570	59	40	3	3	X
cusj-5570	59	41	)	)	PUNCT
cusj-5570	59	42	somatostatinpositive	somatostatinpositive	NOUN
cusj-5570	59	43	(	(	PUNCT
cusj-5570	59	44	som+	som+	PROPN
cusj-5570	59	45	)	)	PUNCT
cusj-5570	59	46	martinotti	martinotti	NOUN
cusj-5570	59	47	cells	cell	NOUN
cusj-5570	59	48	(	(	PUNCT
cusj-5570	59	49	mc	mc	PROPN
cusj-5570	59	50	)	)	PUNCT
cusj-5570	59	51	,	,	PUNCT
cusj-5570	59	52	and	and	CCONJ
cusj-5570	59	53	(	(	PUNCT
cusj-5570	59	54	4	4	X
cusj-5570	59	55	)	)	PUNCT
cusj-5570	59	56	som+	som+	PROPN
cusj-5570	59	57	non	non	ADJ
cusj-5570	59	58	-	-	ADJ
cusj-5570	59	59	martinotti	martinotti	ADJ
cusj-5570	59	60	cells	cell	NOUN
cusj-5570	59	61	(	(	PUNCT
cusj-5570	59	62	non	non	ADJ
cusj-5570	59	63	-	-	PROPN
cusj-5570	59	64	mc	mc	NOUN
cusj-5570	59	65	)	)	PUNCT
cusj-5570	59	66	as	as	SCONJ
cusj-5570	59	67	previously	previously	ADV
cusj-5570	59	68	described	describe	VERB
cusj-5570	59	69	in	in	ADP
cusj-5570	59	70	research12	research12	NOUN
cusj-5570	59	71	.	.	PUNCT
cusj-5570	60	1	we	we	PRON
cusj-5570	60	2	found	find	VERB
cusj-5570	60	3	that	that	SCONJ
cusj-5570	60	4	affinity	affinity	NOUN
cusj-5570	60	5	propagation	propagation	NOUN
cusj-5570	60	6	generates	generate	VERB
cusj-5570	60	7	a	a	DET
cusj-5570	60	8	fair	fair	ADJ
cusj-5570	60	9	classification	classification	NOUN
cusj-5570	60	10	in	in	ADP
cusj-5570	60	11	separating	separate	VERB
cusj-5570	60	12	these	these	DET
cusj-5570	60	13	four	four	NUM
cusj-5570	60	14	known	know	VERB
cusj-5570	60	15	interneuron	interneuron	NOUN
cusj-5570	60	16	subtypes	subtype	NOUN
cusj-5570	60	17	and	and	CCONJ
cusj-5570	60	18	may	may	AUX
cusj-5570	60	19	be	be	AUX
cusj-5570	60	20	a	a	DET
cusj-5570	60	21	powerful	powerful	ADJ
cusj-5570	60	22	classification	classification	NOUN
cusj-5570	60	23	tool	tool	NOUN
cusj-5570	60	24	in	in	ADP
cusj-5570	60	25	discovering	discover	VERB
cusj-5570	60	26	or	or	CCONJ
cusj-5570	60	27	defining	define	VERB
cusj-5570	60	28	neuronal	neuronal	ADJ
cusj-5570	60	29	cell	cell	NOUN
cusj-5570	60	30	types	type	NOUN
cusj-5570	60	31	.	.	PUNCT
cusj-5570	61	1	materials	material	NOUN
cusj-5570	61	2	and	and	CCONJ
cusj-5570	61	3	methods	method	NOUN
cusj-5570	61	4	preparation	preparation	NOUN
cusj-5570	61	5	of	of	ADP
cusj-5570	61	6	brain	brain	NOUN
cusj-5570	61	7	slices	slice	NOUN
cusj-5570	61	8	acute	acute	NOUN
cusj-5570	61	9	brain	brain	NOUN
cusj-5570	61	10	slices	slice	NOUN
cusj-5570	61	11	were	be	AUX
cusj-5570	61	12	prepared	prepare	VERB
cusj-5570	61	13	from	from	ADP
cusj-5570	61	14	nkx	nkx	PROPN
cusj-5570	61	15	2.1	2.1	NUM
cusj-5570	61	16	,	,	PUNCT
cusj-5570	61	17	g42	g42	NOUN
cusj-5570	61	18	,	,	PUNCT
cusj-5570	61	19	or	or	CCONJ
cusj-5570	61	20	gin	gin	NOUN
cusj-5570	61	21	mice	mouse	NOUN
cusj-5570	61	22	,	,	PUNCT
cusj-5570	61	23	with	with	ADP
cusj-5570	61	24	an	an	DET
cusj-5570	61	25	average	average	NOUN
cusj-5570	61	26	of	of	ADP
cusj-5570	61	27	15	15	NUM
cusj-5570	61	28	postnatal	postnatal	ADJ
cusj-5570	61	29	days	day	NOUN
cusj-5570	61	30	(	(	PUNCT
cusj-5570	61	31	range	range	NOUN
cusj-5570	61	32	p13	p13	NOUN
cusj-5570	61	33	–	–	PUNCT
cusj-5570	61	34	p25	p25	NOUN
cusj-5570	61	35	)	)	PUNCT
cusj-5570	61	36	.	.	PUNCT
cusj-5570	62	1	mice	mouse	NOUN
cusj-5570	62	2	were	be	AUX
cusj-5570	62	3	immediately	immediately	ADV
cusj-5570	62	4	decapitated	decapitate	VERB
cusj-5570	62	5	,	,	PUNCT
cusj-5570	62	6	the	the	DET
cusj-5570	62	7	brain	brain	NOUN
cusj-5570	62	8	was	be	AUX
cusj-5570	62	9	removed	remove	VERB
cusj-5570	62	10	and	and	CCONJ
cusj-5570	62	11	then	then	ADV
cusj-5570	62	12	immediately	immediately	ADV
cusj-5570	62	13	placed	place	VERB
cusj-5570	62	14	in	in	ADP
cusj-5570	62	15	a	a	DET
cusj-5570	62	16	cold	cold	ADJ
cusj-5570	62	17	sucrose	sucrose	NOUN
cusj-5570	62	18	cutting	cut	VERB
cusj-5570	62	19	solution	solution	NOUN
cusj-5570	62	20	(	(	PUNCT
cusj-5570	62	21	222	222	NUM
cusj-5570	62	22	mm	mm	NOUN
cusj-5570	62	23	sucrose	sucrose	NOUN
cusj-5570	62	24	,	,	PUNCT
cusj-5570	62	25	2.6	2.6	NUM
cusj-5570	62	26	mm	mm	NOUN
cusj-5570	62	27	kcl	kcl	PROPN
cusj-5570	62	28	,	,	PUNCT
cusj-5570	62	29	27	27	NUM
cusj-5570	62	30	mm	mm	NOUN
cusj-5570	62	31	nahco3	nahco3	NOUN
cusj-5570	62	32	,	,	PUNCT
cusj-5570	62	33	1.5	1.5	NUM
cusj-5570	62	34	mm	mm	NOUN
cusj-5570	62	35	nah2p4	nah2p4	PROPN
cusj-5570	62	36	,	,	PUNCT
cusj-5570	62	37	0.5	0.5	NUM
cusj-5570	62	38	mm	mm	NOUN
cusj-5570	62	39	cacl2	cacl2	NOUN
cusj-5570	62	40	,	,	PUNCT
cusj-5570	62	41	3	3	NUM
cusj-5570	62	42	mm	mm	NOUN
cusj-5570	62	43	mgso4	mgso4	PROPN
cusj-5570	62	44	,	,	PUNCT
cusj-5570	62	45	bubbled	bubble	VERB
cusj-5570	62	46	with	with	ADP
cusj-5570	62	47	95	95	NUM
cusj-5570	62	48	%	%	NOUN
cusj-5570	62	49	o2	o2	PROPN
cusj-5570	62	50	,	,	PUNCT
cusj-5570	62	51	5	5	NUM
cusj-5570	62	52	%	%	NOUN
cusj-5570	62	53	co2	co2	NOUN
cusj-5570	62	54	)	)	PUNCT
cusj-5570	62	55	.	.	PUNCT
cusj-5570	63	1	coronal	coronal	ADJ
cusj-5570	63	2	slices	slice	NOUN
cusj-5570	63	3	of	of	ADP
cusj-5570	63	4	300	300	NUM
cusj-5570	63	5	μm	μm	NOUN
cusj-5570	63	6	thickness	thickness	NOUN
cusj-5570	63	7	were	be	AUX
cusj-5570	63	8	cut	cut	VERB
cusj-5570	63	9	using	use	VERB
cusj-5570	63	10	a	a	DET
cusj-5570	63	11	vibratome	vibratome	NOUN
cusj-5570	63	12	and	and	CCONJ
cusj-5570	63	13	then	then	ADV
cusj-5570	63	14	transferred	transfer	VERB
cusj-5570	63	15	to	to	ADP
cusj-5570	63	16	a	a	DET
cusj-5570	63	17	neuroscience	neuroscience	NOUN
cusj-5570	63	18	columbia	columbia	PROPN
cusj-5570	63	19	undergraduate	undergraduate	PROPN
cusj-5570	63	20	science	science	PROPN
cusj-5570	63	21	journal	journal	PROPN
cusj-5570	63	22	open	open	ADJ
cusj-5570	63	23	-	-	PUNCT
cusj-5570	63	24	access	access	NOUN
cusj-5570	63	25	publication	publication	NOUN
cusj-5570	63	26	|	|	NOUN
cusj-5570	63	27	http://cusj.columbia.edu	http://cusj.columbia.edu	PROPN
cusj-5570	63	28	spring	spring	NOUN
cusj-5570	63	29	2014	2014	NUM
cusj-5570	63	30	|	|	ADV
cusj-5570	63	31	volume	volume	NOUN
cusj-5570	63	32	8	8	NUM
cusj-5570	63	33	24	24	NUM
cusj-5570	63	34	holding	hold	VERB
cusj-5570	63	35	chamber	chamber	NOUN
cusj-5570	63	36	at	at	ADP
cusj-5570	63	37	room	room	NOUN
cusj-5570	63	38	temperature	temperature	NOUN
cusj-5570	63	39	with	with	ADP
cusj-5570	63	40	oxygenated	oxygenated	ADJ
cusj-5570	63	41	acsf	acsf	PROPN
cusj-5570	63	42	(	(	PUNCT
cusj-5570	63	43	126	126	NUM
cusj-5570	63	44	mm	mm	NOUN
cusj-5570	63	45	nacl	nacl	NOUN
cusj-5570	63	46	,	,	PUNCT
cusj-5570	63	47	3	3	NUM
cusj-5570	63	48	mm	mm	NOUN
cusj-5570	63	49	kcl	kcl	PROPN
cusj-5570	63	50	,	,	PUNCT
cusj-5570	63	51	3	3	NUM
cusj-5570	63	52	mm	mm	NOUN
cusj-5570	63	53	mgso4	mgso4	PROPN
cusj-5570	63	54	,	,	PUNCT
cusj-5570	63	55	1	1	NUM
cusj-5570	63	56	mm	mm	NOUN
cusj-5570	63	57	cacl2	cacl2	NOUN
cusj-5570	63	58	,	,	PUNCT
cusj-5570	63	59	1.1	1.1	NUM
cusj-5570	63	60	mm	mm	NOUN
cusj-5570	63	61	nah2po4	nah2po4	PROPN
cusj-5570	63	62	,	,	PUNCT
cusj-5570	63	63	26	26	NUM
cusj-5570	63	64	mm	mm	NUM
cusj-5570	63	65	nahco3	nahco3	NOUN
cusj-5570	63	66	,	,	PUNCT
cusj-5570	63	67	and	and	CCONJ
cusj-5570	63	68	10	10	NUM
cusj-5570	63	69	mm	mm	NOUN
cusj-5570	63	70	dextrose	dextrose	NOUN
cusj-5570	63	71	,	,	PUNCT
cusj-5570	63	72	bubbled	bubble	VERB
cusj-5570	63	73	with	with	ADP
cusj-5570	63	74	95	95	NUM
cusj-5570	63	75	%	%	NOUN
cusj-5570	63	76	o2	o2	PROPN
cusj-5570	63	77	,	,	PUNCT
cusj-5570	63	78	5	5	NUM
cusj-5570	63	79	%	%	NOUN
cusj-5570	63	80	co2	co2	NOUN
cusj-5570	63	81	)	)	PUNCT
cusj-5570	63	82	.	.	PUNCT
cusj-5570	64	1	the	the	DET
cusj-5570	64	2	slices	slice	NOUN
cusj-5570	64	3	were	be	AUX
cusj-5570	64	4	left	leave	VERB
cusj-5570	64	5	to	to	PART
cusj-5570	64	6	equilibrate	equilibrate	VERB
cusj-5570	64	7	with	with	ADP
cusj-5570	64	8	the	the	DET
cusj-5570	64	9	room	room	NOUN
cusj-5570	64	10	temperature	temperature	NOUN
cusj-5570	64	11	for	for	ADP
cusj-5570	64	12	at	at	ADV
cusj-5570	64	13	least	least	ADV
cusj-5570	64	14	30	30	NUM
cusj-5570	64	15	minutes	minute	NOUN
cusj-5570	64	16	.	.	PUNCT
cusj-5570	65	1	slices	slice	NOUN
cusj-5570	65	2	were	be	AUX
cusj-5570	65	3	then	then	ADV
cusj-5570	65	4	transferred	transfer	VERB
cusj-5570	65	5	to	to	ADP
cusj-5570	65	6	a	a	DET
cusj-5570	65	7	recording	recording	NOUN
cusj-5570	65	8	chamber	chamber	NOUN
cusj-5570	65	9	with	with	ADP
cusj-5570	65	10	the	the	DET
cusj-5570	65	11	perfusion	perfusion	NOUN
cusj-5570	65	12	of	of	ADP
cusj-5570	65	13	acsf	acsf	PROPN
cusj-5570	65	14	bubbled	bubble	VERB
cusj-5570	65	15	with	with	ADP
cusj-5570	65	16	95	95	NUM
cusj-5570	65	17	%	%	NOUN
cusj-5570	65	18	o2	o2	PROPN
cusj-5570	65	19	,	,	PUNCT
cusj-5570	65	20	5	5	NUM
cusj-5570	65	21	%	%	NOUN
cusj-5570	65	22	co2	co2	NOUN
cusj-5570	65	23	.	.	PUNCT
cusj-5570	66	1	transgenic	transgenic	NOUN
cusj-5570	66	2	mouse	mouse	NOUN
cusj-5570	66	3	lines	line	NOUN
cusj-5570	66	4	to	to	PART
cusj-5570	66	5	identify	identify	VERB
cusj-5570	66	6	different	different	ADJ
cusj-5570	66	7	types	type	NOUN
cusj-5570	66	8	of	of	ADP
cusj-5570	66	9	interneurons	interneuron	NOUN
cusj-5570	66	10	,	,	PUNCT
cusj-5570	66	11	we	we	PRON
cusj-5570	66	12	used	use	VERB
cusj-5570	66	13	three	three	NUM
cusj-5570	66	14	transgenic	transgenic	NOUN
cusj-5570	66	15	mouse	mouse	NOUN
cusj-5570	66	16	lines	line	NOUN
cusj-5570	66	17	.	.	PUNCT
cusj-5570	67	1	first	first	ADV
cusj-5570	67	2	,	,	PUNCT
cusj-5570	67	3	we	we	PRON
cusj-5570	67	4	used	use	VERB
cusj-5570	67	5	the	the	DET
cusj-5570	67	6	g42	g42	PROPN
cusj-5570	67	7	line	line	NOUN
cusj-5570	67	8	that	that	PRON
cusj-5570	67	9	labels	label	VERB
cusj-5570	67	10	pv+	pv+	PROPN
cusj-5570	67	11	cells2	cells2	PROPN
cusj-5570	67	12	.	.	PUNCT
cusj-5570	68	1	pv+	pv+	ADJ
cusj-5570	68	2	cells	cell	NOUN
cusj-5570	68	3	are	be	AUX
cusj-5570	68	4	rapid	rapid	ADJ
cusj-5570	68	5	spiking	spike	VERB
cusj-5570	68	6	interneurons	interneuron	NOUN
cusj-5570	68	7	with	with	ADP
cusj-5570	68	8	basket	basket	NOUN
cusj-5570	68	9	or	or	CCONJ
cusj-5570	68	10	chc	chc	PROPN
cusj-5570	68	11	morphology	morphology	NOUN
cusj-5570	68	12	.	.	PUNCT
cusj-5570	69	1	we	we	PRON
cusj-5570	69	2	are	be	AUX
cusj-5570	69	3	able	able	ADJ
cusj-5570	69	4	to	to	PART
cusj-5570	69	5	identify	identify	VERB
cusj-5570	69	6	basket	basket	NOUN
cusj-5570	69	7	cells	cell	NOUN
cusj-5570	69	8	from	from	ADP
cusj-5570	69	9	chandelier	chandelier	NOUN
cusj-5570	69	10	cells	cell	NOUN
cusj-5570	69	11	by	by	ADP
cusj-5570	69	12	their	their	PRON
cusj-5570	69	13	distinctive	distinctive	ADJ
cusj-5570	69	14	morphologies	morphology	NOUN
cusj-5570	69	15	and	and	CCONJ
cusj-5570	69	16	threshold	threshold	VERB
cusj-5570	69	17	spiking	spike	VERB
cusj-5570	69	18	responses	response	NOUN
cusj-5570	69	19	.	.	PUNCT
cusj-5570	70	1	in	in	ADP
cusj-5570	70	2	addition	addition	NOUN
cusj-5570	70	3	,	,	PUNCT
cusj-5570	70	4	the	the	DET
cusj-5570	70	5	chandelier	chandelier	NOUN
cusj-5570	70	6	cells	cell	NOUN
cusj-5570	70	7	have	have	VERB
cusj-5570	70	8	specially	specially	ADV
cusj-5570	70	9	shaped	shape	VERB
cusj-5570	70	10	axon	axon	NOUN
cusj-5570	70	11	arbors	arbor	NOUN
cusj-5570	70	12	,	,	PUNCT
cusj-5570	70	13	in	in	ADP
cusj-5570	70	14	which	which	PRON
cusj-5570	70	15	axon	axon	NOUN
cusj-5570	70	16	terminals	terminal	VERB
cusj-5570	70	17	form	form	VERB
cusj-5570	70	18	distinct	distinct	ADJ
cusj-5570	70	19	arrays	array	NOUN
cusj-5570	70	20	called	call	VERB
cusj-5570	70	21	“	"	PUNCT
cusj-5570	70	22	cartridges	cartridge	NOUN
cusj-5570	70	23	”	"	PUNCT
cusj-5570	70	24	that	that	PRON
cusj-5570	70	25	we	we	PRON
cusj-5570	70	26	can	can	AUX
cusj-5570	70	27	visualize	visualize	VERB
cusj-5570	70	28	via	via	ADP
cusj-5570	70	29	gfp17	gfp17	NOUN
cusj-5570	70	30	.	.	PUNCT
cusj-5570	71	1	the	the	DET
cusj-5570	71	2	nkx2.1	nkx2.1	NOUN
cusj-5570	71	3	line	line	NOUN
cusj-5570	71	4	labels	label	VERB
cusj-5570	71	5	a	a	DET
cusj-5570	71	6	population	population	NOUN
cusj-5570	71	7	of	of	ADP
cusj-5570	71	8	interneurons	interneuron	NOUN
cusj-5570	71	9	that	that	PRON
cusj-5570	71	10	express	express	VERB
cusj-5570	71	11	the	the	DET
cusj-5570	71	12	transcription	transcription	NOUN
cusj-5570	71	13	factor	factor	NOUN
cusj-5570	71	14	nkx	nkx	NOUN
cusj-5570	71	15	2.1	2.1	NUM
cusj-5570	71	16	,	,	PUNCT
cusj-5570	71	17	which	which	PRON
cusj-5570	71	18	includes	include	VERB
cusj-5570	71	19	interneurons	interneuron	NOUN
cusj-5570	71	20	that	that	PRON
cusj-5570	71	21	migrate	migrate	VERB
cusj-5570	71	22	from	from	ADP
cusj-5570	71	23	the	the	DET
cusj-5570	71	24	medial	medial	ADJ
cusj-5570	71	25	ganglionic	ganglionic	ADJ
cusj-5570	71	26	eminence	eminence	NOUN
cusj-5570	71	27	(	(	PUNCT
cusj-5570	71	28	mge	mge	PROPN
cusj-5570	71	29	)	)	PUNCT
cusj-5570	71	30	,	,	PUNCT
cusj-5570	71	31	most	most	ADV
cusj-5570	71	32	notably	notably	ADV
cusj-5570	71	33	chcs17	chcs17	VERB
cusj-5570	71	34	.	.	PUNCT
cusj-5570	72	1	a	a	DET
cusj-5570	72	2	significant	significant	ADJ
cusj-5570	72	3	proportion	proportion	NOUN
cusj-5570	72	4	of	of	ADP
cusj-5570	72	5	the	the	DET
cusj-5570	72	6	chc	chc	PROPN
cusj-5570	72	7	cells	cell	NOUN
cusj-5570	72	8	were	be	AUX
cusj-5570	72	9	found	find	VERB
cusj-5570	72	10	at	at	ADP
cusj-5570	72	11	the	the	DET
cusj-5570	72	12	top	top	NOUN
cusj-5570	72	13	of	of	ADP
cusj-5570	72	14	layer	layer	NOUN
cusj-5570	72	15	ii	ii	PROPN
cusj-5570	72	16	,	,	PUNCT
cusj-5570	72	17	close	close	ADV
cusj-5570	72	18	to	to	ADP
cusj-5570	72	19	the	the	DET
cusj-5570	72	20	layer	layer	NOUN
cusj-5570	72	21	i	i	PRON
cusj-5570	72	22	border	border	VERB
cusj-5570	72	23	,	,	PUNCT
cusj-5570	72	24	in	in	ADP
cusj-5570	72	25	both	both	CCONJ
cusj-5570	72	26	the	the	DET
cusj-5570	72	27	g42	g42	NOUN
cusj-5570	72	28	and	and	CCONJ
cusj-5570	72	29	nkx	nkx	VERB
cusj-5570	72	30	2.1	2.1	NUM
cusj-5570	72	31	lines17	lines17	NOUN
cusj-5570	72	32	.	.	PUNCT
cusj-5570	73	1	finally	finally	ADV
cusj-5570	73	2	,	,	PUNCT
cusj-5570	73	3	we	we	PRON
cusj-5570	73	4	used	use	VERB
cusj-5570	73	5	the	the	DET
cusj-5570	73	6	gin	gin	NOUN
cusj-5570	73	7	line	line	NOUN
cusj-5570	73	8	to	to	PART
cusj-5570	73	9	label	label	VERB
cusj-5570	73	10	som+	som+	PROPN
cusj-5570	73	11	cells12	cells12	NOUN
cusj-5570	73	12	.	.	PUNCT
cusj-5570	74	1	som+	som+	NOUN
cusj-5570	74	2	cells	cell	NOUN
cusj-5570	74	3	are	be	AUX
cusj-5570	74	4	regular	regular	ADJ
cusj-5570	74	5	spiking	spike	VERB
cusj-5570	74	6	interneurons	interneuron	NOUN
cusj-5570	74	7	with	with	ADP
cusj-5570	74	8	diverse	diverse	ADJ
cusj-5570	74	9	morphology	morphology	NOUN
cusj-5570	74	10	.	.	PUNCT
cusj-5570	75	1	in	in	ADP
cusj-5570	75	2	previous	previous	ADJ
cusj-5570	75	3	work	work	NOUN
cusj-5570	75	4	,	,	PUNCT
cusj-5570	75	5	we	we	PRON
cusj-5570	75	6	determined	determine	VERB
cusj-5570	75	7	three	three	NUM
cusj-5570	75	8	unique	unique	ADJ
cusj-5570	75	9	subtypes	subtype	NOUN
cusj-5570	75	10	of	of	ADP
cusj-5570	75	11	som+	som+	ADJ
cusj-5570	75	12	interneurons	interneuron	NOUN
cusj-5570	75	13	in	in	ADP
cusj-5570	75	14	gin	gin	NOUN
cusj-5570	75	15	mice	mouse	NOUN
cusj-5570	75	16	based	base	VERB
cusj-5570	75	17	on	on	ADP
cusj-5570	75	18	morphology	morphology	NOUN
cusj-5570	75	19	and	and	CCONJ
cusj-5570	75	20	physiology	physiology	NOUN
cusj-5570	75	21	:	:	PUNCT
cusj-5570	75	22	martinotti	martinotti	NOUN
cusj-5570	75	23	cells	cell	NOUN
cusj-5570	75	24	and	and	CCONJ
cusj-5570	75	25	two	two	NUM
cusj-5570	75	26	novel	novel	ADJ
cusj-5570	75	27	subtypes12	subtypes12	NOUN
cusj-5570	75	28	.	.	PUNCT
cusj-5570	76	1	as	as	ADP
cusj-5570	76	2	a	a	DET
cusj-5570	76	3	result	result	NOUN
cusj-5570	76	4	,	,	PUNCT
cusj-5570	76	5	we	we	PRON
cusj-5570	76	6	now	now	ADV
cusj-5570	76	7	distinguish	distinguish	VERB
cusj-5570	76	8	between	between	ADP
cusj-5570	76	9	martinotti	martinotti	NOUN
cusj-5570	76	10	cells	cell	NOUN
cusj-5570	76	11	(	(	PUNCT
cusj-5570	76	12	mc	mc	PROPN
cusj-5570	76	13	)	)	PUNCT
cusj-5570	76	14	and	and	CCONJ
cusj-5570	76	15	two	two	NUM
cusj-5570	76	16	novel	novel	ADJ
cusj-5570	76	17	subtypes	subtype	NOUN
cusj-5570	76	18	(	(	PUNCT
cusj-5570	76	19	non	non	NOUN
cusj-5570	76	20	-	-	PROPN
cusj-5570	76	21	mc	mc	NOUN
cusj-5570	76	22	)	)	PUNCT
cusj-5570	76	23	.	.	PUNCT
cusj-5570	77	1	electrophysiology	electrophysiology	NOUN
cusj-5570	77	2	recordings	recording	VERB
cusj-5570	77	3	brain	brain	NOUN
cusj-5570	77	4	slices	slice	NOUN
cusj-5570	77	5	were	be	AUX
cusj-5570	77	6	placed	place	VERB
cusj-5570	77	7	in	in	ADP
cusj-5570	77	8	a	a	DET
cusj-5570	77	9	recording	recording	NOUN
cusj-5570	77	10	chamber	chamber	NOUN
cusj-5570	77	11	at	at	ADP
cusj-5570	77	12	room	room	NOUN
cusj-5570	77	13	temperature	temperature	NOUN
cusj-5570	77	14	with	with	ADP
cusj-5570	77	15	a	a	DET
cusj-5570	77	16	constant	constant	ADJ
cusj-5570	77	17	supply	supply	NOUN
cusj-5570	77	18	of	of	ADP
cusj-5570	77	19	oxygenated	oxygenated	ADJ
cusj-5570	77	20	acsf	acsf	PROPN
cusj-5570	77	21	.	.	PUNCT
cusj-5570	78	1	pipettes	pipette	NOUN
cusj-5570	78	2	of	of	ADP
cusj-5570	78	3	3	3	NUM
cusj-5570	78	4	-	-	SYM
cusj-5570	78	5	7	7	NUM
cusj-5570	78	6	mω	mω	NOUN
cusj-5570	78	7	resistance	resistance	NOUN
cusj-5570	78	8	were	be	AUX
cusj-5570	78	9	pulled	pull	VERB
cusj-5570	78	10	from	from	ADP
cusj-5570	78	11	borosilicate	borosilicate	ADJ
cusj-5570	78	12	glass	glass	NOUN
cusj-5570	78	13	.	.	PUNCT
cusj-5570	79	1	whole	whole	ADJ
cusj-5570	79	2	cell	cell	NOUN
cusj-5570	79	3	recordings	recording	NOUN
cusj-5570	79	4	of	of	ADP
cusj-5570	79	5	cells	cell	NOUN
cusj-5570	79	6	were	be	AUX
cusj-5570	79	7	obtained	obtain	VERB
cusj-5570	79	8	using	use	VERB
cusj-5570	79	9	patchclamping	patchclamping	NOUN
cusj-5570	79	10	.	.	PUNCT
cusj-5570	80	1	only	only	ADV
cusj-5570	80	2	cells	cell	NOUN
cusj-5570	80	3	with	with	ADP
cusj-5570	80	4	a	a	DET
cusj-5570	80	5	healthy	healthy	ADJ
cusj-5570	80	6	resting	rest	VERB
cusj-5570	80	7	membrane	membrane	NOUN
cusj-5570	80	8	potential	potential	NOUN
cusj-5570	80	9	(	(	PUNCT
cusj-5570	80	10	between	between	ADP
cusj-5570	80	11	-55	-55	PUNCT
cusj-5570	80	12	and	and	CCONJ
cusj-5570	80	13	-80	-80	PUNCT
cusj-5570	80	14	mv	mv	NOUN
cusj-5570	80	15	)	)	PUNCT
cusj-5570	80	16	were	be	AUX
cusj-5570	80	17	selected	select	VERB
cusj-5570	80	18	for	for	ADP
cusj-5570	80	19	recording	recording	NOUN
cusj-5570	80	20	.	.	PUNCT
cusj-5570	81	1	electrophysiological	electrophysiological	ADJ
cusj-5570	81	2	analysis	analysis	NOUN
cusj-5570	81	3	20	20	NUM
cusj-5570	81	4	variables	variable	NOUN
cusj-5570	81	5	were	be	AUX
cusj-5570	81	6	measured	measure	VERB
cusj-5570	81	7	for	for	ADP
cusj-5570	81	8	each	each	DET
cusj-5570	81	9	neuron	neuron	NOUN
cusj-5570	81	10	by	by	ADP
cusj-5570	81	11	analysis	analysis	NOUN
cusj-5570	81	12	of	of	ADP
cusj-5570	81	13	the	the	DET
cusj-5570	81	14	recordings	recording	NOUN
cusj-5570	81	15	in	in	ADP
cusj-5570	81	16	matlab	matlab	PROPN
cusj-5570	81	17	.	.	PUNCT
cusj-5570	82	1	the	the	DET
cusj-5570	82	2	petilla	petilla	NOUN
cusj-5570	82	3	terminology	terminology	NOUN
cusj-5570	82	4	scheme	scheme	NOUN
cusj-5570	82	5	was	be	AUX
cusj-5570	82	6	used	use	VERB
cusj-5570	82	7	to	to	PART
cusj-5570	82	8	name	name	VERB
cusj-5570	82	9	each	each	DET
cusj-5570	82	10	variable	variable	NOUN
cusj-5570	82	11	describing	describe	VERB
cusj-5570	82	12	firing	firing	NOUN
cusj-5570	82	13	and	and	CCONJ
cusj-5570	82	14	passive	passive	ADJ
cusj-5570	82	15	properties1	properties1	NOUN
cusj-5570	82	16	.	.	PUNCT
cusj-5570	83	1	see	see	VERB
cusj-5570	83	2	appendix	appendix	NOUN
cusj-5570	83	3	1	1	NUM
cusj-5570	83	4	for	for	ADP
cusj-5570	83	5	descriptions	description	NOUN
cusj-5570	83	6	.	.	PUNCT
cusj-5570	84	1	histological	histological	ADJ
cusj-5570	84	2	procedure	procedure	NOUN
cusj-5570	84	3	neurons	neuron	NOUN
cusj-5570	84	4	were	be	AUX
cusj-5570	84	5	filled	fill	VERB
cusj-5570	84	6	with	with	ADP
cusj-5570	84	7	biocytin	biocytin	NOUN
cusj-5570	84	8	by	by	ADP
cusj-5570	84	9	a	a	DET
cusj-5570	84	10	patch	patch	ADJ
cusj-5570	84	11	pipette	pipette	NOUN
cusj-5570	84	12	.	.	PUNCT
cusj-5570	85	1	slices	slice	NOUN
cusj-5570	85	2	were	be	AUX
cusj-5570	85	3	kept	keep	VERB
cusj-5570	85	4	overnight	overnight	ADV
cusj-5570	85	5	in	in	ADP
cusj-5570	85	6	4	4	NUM
cusj-5570	85	7	%	%	NOUN
cusj-5570	85	8	formaldehyde	formaldehyde	NOUN
cusj-5570	85	9	in	in	ADP
cusj-5570	85	10	0.1	0.1	NUM
cusj-5570	85	11	m	m	NOUN
cusj-5570	85	12	phosphate	phosphate	NOUN
cusj-5570	85	13	buffer	buffer	NOUN
cusj-5570	85	14	(	(	PUNCT
cusj-5570	85	15	pb	pb	NOUN
cusj-5570	85	16	)	)	PUNCT
cusj-5570	85	17	at	at	ADP
cusj-5570	85	18	4	4	NUM
cusj-5570	85	19	°	°	NOUN
cusj-5570	85	20	c	c	NOUN
cusj-5570	85	21	.	.	PUNCT
cusj-5570	86	1	slices	slice	NOUN
cusj-5570	86	2	were	be	AUX
cusj-5570	86	3	then	then	ADV
cusj-5570	86	4	rinsed	rinse	VERB
cusj-5570	86	5	three	three	NUM
cusj-5570	86	6	times	time	NOUN
cusj-5570	86	7	for	for	ADP
cusj-5570	86	8	five	five	NUM
cusj-5570	86	9	minutes	minute	NOUN
cusj-5570	86	10	per	per	ADP
cusj-5570	86	11	rinse	rinse	NOUN
cusj-5570	86	12	on	on	ADP
cusj-5570	86	13	a	a	DET
cusj-5570	86	14	shaker	shaker	NOUN
cusj-5570	86	15	in	in	ADP
cusj-5570	86	16	0.1	0.1	NUM
cusj-5570	86	17	m	m	NOUN
cusj-5570	86	18	pb	pb	NOUN
cusj-5570	86	19	.	.	PUNCT
cusj-5570	87	1	they	they	PRON
cusj-5570	87	2	were	be	AUX
cusj-5570	87	3	then	then	ADV
cusj-5570	87	4	placed	place	VERB
cusj-5570	87	5	in	in	ADP
cusj-5570	87	6	30	30	NUM
cusj-5570	87	7	%	%	NOUN
cusj-5570	87	8	sucrose	sucrose	NOUN
cusj-5570	87	9	mixture	mixture	NOUN
cusj-5570	87	10	(	(	PUNCT
cusj-5570	87	11	30	30	NUM
cusj-5570	87	12	g	g	NOUN
cusj-5570	87	13	sucrose	sucrose	NOUN
cusj-5570	87	14	dissolved	dissolve	VERB
cusj-5570	87	15	in	in	ADP
cusj-5570	87	16	50	50	NUM
cusj-5570	87	17	ml	ml	NOUN
cusj-5570	87	18	ddh2	ddh2	PROPN
cusj-5570	87	19	)	)	PUNCT
cusj-5570	87	20	and	and	CCONJ
cusj-5570	87	21	50	50	NUM
cusj-5570	87	22	ml	ml	NOUN
cusj-5570	87	23	0.24	0.24	NUM
cusj-5570	87	24	m	m	NOUN
cusj-5570	87	25	pb	pb	ADP
cusj-5570	87	26	per	per	ADP
cusj-5570	87	27	100	100	NUM
cusj-5570	87	28	ml	ml	NOUN
cusj-5570	87	29	)	)	PUNCT
cusj-5570	87	30	for	for	ADP
cusj-5570	87	31	2	2	NUM
cusj-5570	87	32	hours	hour	NOUN
cusj-5570	87	33	and	and	CCONJ
cusj-5570	87	34	then	then	ADV
cusj-5570	87	35	frozen	freeze	VERB
cusj-5570	87	36	on	on	ADP
cusj-5570	87	37	dry	dry	ADJ
cusj-5570	87	38	ice	ice	NOUN
cusj-5570	87	39	in	in	ADP
cusj-5570	87	40	tissue	tissue	NOUN
cusj-5570	87	41	freezing	freeze	VERB
cusj-5570	87	42	medium	medium	NOUN
cusj-5570	87	43	.	.	PUNCT
cusj-5570	88	1	the	the	DET
cusj-5570	88	2	slices	slice	NOUN
cusj-5570	88	3	were	be	AUX
cusj-5570	88	4	kept	keep	VERB
cusj-5570	88	5	overnight	overnight	ADV
cusj-5570	88	6	in	in	ADP
cusj-5570	88	7	a	a	DET
cusj-5570	88	8	-80	-80	SYM
cusj-5570	88	9	°	°	NOUN
cusj-5570	88	10	c	c	NOUN
cusj-5570	88	11	freezer	freezer	NOUN
cusj-5570	88	12	.	.	PUNCT
cusj-5570	89	1	after	after	ADP
cusj-5570	89	2	defrosting	defrosting	NOUN
cusj-5570	89	3	,	,	PUNCT
cusj-5570	89	4	the	the	DET
cusj-5570	89	5	slices	slice	NOUN
cusj-5570	89	6	were	be	AUX
cusj-5570	89	7	rinses	rinse	NOUN
cusj-5570	89	8	in	in	ADP
cusj-5570	89	9	0.1	0.1	NUM
cusj-5570	89	10	m	m	NOUN
cusj-5570	89	11	pbthree	pbthree	NOUN
cusj-5570	89	12	times	time	NOUN
cusj-5570	89	13	,	,	PUNCT
cusj-5570	89	14	twenty	twenty	NUM
cusj-5570	89	15	minutes	minute	NOUN
cusj-5570	89	16	each	each	PRON
cusj-5570	89	17	,	,	PUNCT
cusj-5570	89	18	to	to	PART
cusj-5570	89	19	remove	remove	VERB
cusj-5570	89	20	tissue	tissue	NOUN
cusj-5570	89	21	freezing	freeze	VERB
cusj-5570	89	22	medium	medium	ADJ
cusj-5570	89	23	.	.	PUNCT
cusj-5570	90	1	slices	slice	NOUN
cusj-5570	90	2	were	be	AUX
cusj-5570	90	3	then	then	ADV
cusj-5570	90	4	incubated	incubate	VERB
cusj-5570	90	5	in	in	ADP
cusj-5570	90	6	1	1	NUM
cusj-5570	90	7	%	%	NOUN
cusj-5570	90	8	hydrogen	hydrogen	NOUN
cusj-5570	90	9	peroxide	peroxide	NOUN
cusj-5570	90	10	in	in	ADP
cusj-5570	90	11	0.1	0.1	NUM
cusj-5570	90	12	m	m	NOUN
cusj-5570	90	13	pb	pb	NOUN
cusj-5570	90	14	for	for	ADP
cusj-5570	90	15	thirty	thirty	NUM
cusj-5570	90	16	minutes	minute	NOUN
cusj-5570	90	17	to	to	PART
cusj-5570	90	18	pretreat	pretreat	VERB
cusj-5570	90	19	the	the	DET
cusj-5570	90	20	tissue	tissue	NOUN
cusj-5570	90	21	.	.	PUNCT
cusj-5570	91	1	they	they	PRON
cusj-5570	91	2	were	be	AUX
cusj-5570	91	3	then	then	ADV
cusj-5570	91	4	rinsed	rinse	VERB
cusj-5570	91	5	twice	twice	ADV
cusj-5570	91	6	in	in	ADP
cusj-5570	91	7	0.02	0.02	NUM
cusj-5570	91	8	m	m	NOUN
cusj-5570	91	9	potassium	potassium	NOUN
cusj-5570	91	10	phosphate	phosphate	NOUN
cusj-5570	91	11	saline	saline	NOUN
cusj-5570	91	12	(	(	PUNCT
cusj-5570	91	13	kpbs	kpb	NOUN
cusj-5570	91	14	)	)	PUNCT
cusj-5570	91	15	for	for	ADP
cusj-5570	91	16	twenty	twenty	NUM
cusj-5570	91	17	minutes	minute	NOUN
cusj-5570	91	18	.	.	PUNCT
cusj-5570	92	1	afterwards	afterwards	ADV
cusj-5570	92	2	,	,	PUNCT
cusj-5570	92	3	the	the	DET
cusj-5570	92	4	slices	slice	NOUN
cusj-5570	92	5	were	be	AUX
cusj-5570	92	6	kept	keep	VERB
cusj-5570	92	7	overnight	overnight	ADV
cusj-5570	92	8	in	in	ADP
cusj-5570	92	9	avidin	avidin	NOUN
cusj-5570	92	10	-	-	PUNCT
cusj-5570	92	11	biotin	biotin	NOUN
cusj-5570	92	12	-	-	PUNCT
cusj-5570	92	13	peroxidase	peroxidase	NOUN
cusj-5570	92	14	complex	complex	NOUN
cusj-5570	92	15	.	.	PUNCT
cusj-5570	93	1	the	the	DET
cusj-5570	93	2	slices	slice	NOUN
cusj-5570	93	3	were	be	AUX
cusj-5570	93	4	next	next	ADV
cusj-5570	93	5	rinsed	rinse	VERB
cusj-5570	93	6	three	three	NUM
cusj-5570	93	7	times	time	NOUN
cusj-5570	93	8	in	in	ADP
cusj-5570	93	9	0.02	0.02	NUM
cusj-5570	93	10	m	m	NOUN
cusj-5570	93	11	kpbs	kpb	NOUN
cusj-5570	93	12	(	(	PUNCT
cusj-5570	93	13	(	(	PUNCT
cusj-5570	93	14	0.7	0.7	NUM
cusj-5570	93	15	mg	mg	NUM
cusj-5570	93	16	/	/	SYM
cusj-5570	93	17	ml	ml	NOUN
cusj-5570	93	18	3,3	3,3	NUM
cusj-5570	93	19	”	"	PUNCT
cusj-5570	93	20	diaminobenzidine	diaminobenzidine	NOUN
cusj-5570	93	21	,	,	PUNCT
cusj-5570	93	22	0.2	0.2	NUM
cusj-5570	93	23	mg	mg	NUM
cusj-5570	93	24	/	/	SYM
cusj-5570	93	25	ml	ml	NOUN
cusj-5570	93	26	urea	urea	NOUN
cusj-5570	93	27	hydrogen	hydrogen	NOUN
cusj-5570	93	28	peroxide	peroxide	NOUN
cusj-5570	93	29	,	,	PUNCT
cusj-5570	93	30	0.06	0.06	NUM
cusj-5570	93	31	m	m	NOUN
cusj-5570	93	32	tris	tris	ADJ
cusj-5570	93	33	buffer	buffer	NOUN
cusj-5570	93	34	in	in	ADP
cusj-5570	93	35	0.02	0.02	NUM
cusj-5570	93	36	m	m	NOUN
cusj-5570	93	37	kpbs	kpb	NOUN
cusj-5570	93	38	)	)	PUNCT
cusj-5570	93	39	)	)	PUNCT
cusj-5570	93	40	for	for	ADP
cusj-5570	93	41	20	20	NUM
cusj-5570	93	42	minutes	minute	NOUN
cusj-5570	93	43	each	each	PRON
cusj-5570	93	44	.	.	PUNCT
cusj-5570	94	1	each	each	DET
cusj-5570	94	2	slice	slice	NOUN
cusj-5570	94	3	was	be	AUX
cusj-5570	94	4	observed	observe	VERB
cusj-5570	94	5	under	under	ADP
cusj-5570	94	6	a	a	DET
cusj-5570	94	7	light	light	ADJ
cusj-5570	94	8	microscope	microscope	NOUN
cusj-5570	94	9	and	and	CCONJ
cusj-5570	94	10	then	then	ADV
cusj-5570	94	11	mounted	mount	VERB
cusj-5570	94	12	onto	onto	ADP
cusj-5570	94	13	a	a	DET
cusj-5570	94	14	slide	slide	NOUN
cusj-5570	94	15	using	use	VERB
cusj-5570	94	16	crystal	crystal	NOUN
cusj-5570	94	17	mount	mount	PROPN
cusj-5570	94	18	.	.	PUNCT
cusj-5570	95	1	three	three	NUM
cusj-5570	95	2	-	-	PUNCT
cusj-5570	95	3	dimensional	dimensional	ADJ
cusj-5570	95	4	neuron	neuron	NOUN
cusj-5570	95	5	reconstruction	reconstruction	NOUN
cusj-5570	95	6	and	and	CCONJ
cusj-5570	95	7	morphological	morphological	ADJ
cusj-5570	95	8	analysis	analysis	NOUN
cusj-5570	95	9	three	three	NUM
cusj-5570	95	10	-	-	PUNCT
cusj-5570	95	11	dimensional	dimensional	ADJ
cusj-5570	95	12	reconstructions	reconstruction	NOUN
cusj-5570	95	13	of	of	ADP
cusj-5570	95	14	successfully	successfully	ADV
cusj-5570	95	15	filled	fill	VERB
cusj-5570	95	16	and	and	CCONJ
cusj-5570	95	17	properly	properly	ADV
cusj-5570	95	18	stained	stain	VERB
cusj-5570	95	19	neurons	neuron	NOUN
cusj-5570	95	20	were	be	AUX
cusj-5570	95	21	done	do	VERB
cusj-5570	95	22	using	use	VERB
cusj-5570	95	23	neurolucida	neurolucida	ADJ
cusj-5570	95	24	software	software	NOUN
cusj-5570	95	25	(	(	PUNCT
cusj-5570	95	26	microbrightfield	microbrightfield	NOUN
cusj-5570	95	27	)	)	PUNCT
cusj-5570	95	28	.	.	PUNCT
cusj-5570	96	1	the	the	DET
cusj-5570	96	2	neurons	neuron	NOUN
cusj-5570	96	3	were	be	AUX
cusj-5570	96	4	viewed	view	VERB
cusj-5570	96	5	with	with	ADP
cusj-5570	96	6	a	a	DET
cusj-5570	96	7	100x	100x	NUM
cusj-5570	96	8	oil	oil	NOUN
cusj-5570	96	9	objective	objective	NOUN
cusj-5570	96	10	on	on	ADP
cusj-5570	96	11	an	an	DET
cusj-5570	96	12	olympus	olympus	PROPN
cusj-5570	96	13	bx51	bx51	PROPN
cusj-5570	96	14	upright	upright	ADJ
cusj-5570	96	15	light	light	ADJ
cusj-5570	96	16	microscope	microscope	NOUN
cusj-5570	96	17	.	.	PUNCT
cusj-5570	97	1	differential	differential	ADJ
cusj-5570	97	2	interference	interference	NOUN
cusj-5570	97	3	contrast	contrast	NOUN
cusj-5570	97	4	(	(	PUNCT
cusj-5570	97	5	dic	dic	ADJ
cusj-5570	97	6	)	)	PUNCT
cusj-5570	97	7	microscopy	microscopy	NOUN
cusj-5570	97	8	was	be	AUX
cusj-5570	97	9	employed	employ	VERB
cusj-5570	97	10	to	to	PART
cusj-5570	97	11	see	see	VERB
cusj-5570	97	12	otherwise	otherwise	ADV
cusj-5570	97	13	invisible	invisible	ADJ
cusj-5570	97	14	features	feature	NOUN
cusj-5570	97	15	of	of	ADP
cusj-5570	97	16	the	the	DET
cusj-5570	97	17	sample	sample	NOUN
cusj-5570	97	18	.	.	PUNCT
cusj-5570	98	1	the	the	DET
cusj-5570	98	2	neuron	neuron	NOUN
cusj-5570	98	3	’s	’s	PART
cusj-5570	98	4	processes	process	NOUN
cusj-5570	98	5	were	be	AUX
cusj-5570	98	6	traced	trace	VERB
cusj-5570	98	7	manually	manually	ADV
cusj-5570	98	8	while	while	SCONJ
cusj-5570	98	9	the	the	DET
cusj-5570	98	10	program	program	NOUN
cusj-5570	98	11	recorded	record	VERB
cusj-5570	98	12	the	the	DET
cusj-5570	98	13	coordinates	coordinate	NOUN
cusj-5570	98	14	of	of	ADP
cusj-5570	98	15	the	the	DET
cusj-5570	98	16	tracing	tracing	NOUN
cusj-5570	98	17	,	,	PUNCT
cusj-5570	98	18	thus	thus	ADV
cusj-5570	98	19	creating	create	VERB
cusj-5570	98	20	a	a	DET
cusj-5570	98	21	three	three	NUM
cusj-5570	98	22	-	-	PUNCT
cusj-5570	98	23	dimensional	dimensional	ADJ
cusj-5570	98	24	reconstruction	reconstruction	NOUN
cusj-5570	98	25	.	.	PUNCT
cusj-5570	99	1	in	in	ADP
cusj-5570	99	2	addition	addition	NOUN
cusj-5570	99	3	to	to	ADP
cusj-5570	99	4	the	the	DET
cusj-5570	99	5	neuron	neuron	NOUN
cusj-5570	99	6	,	,	PUNCT
cusj-5570	99	7	the	the	DET
cusj-5570	99	8	pia	pia	NOUN
cusj-5570	99	9	and	and	CCONJ
cusj-5570	99	10	white	white	ADJ
cusj-5570	99	11	matter	matter	NOUN
cusj-5570	99	12	were	be	AUX
cusj-5570	99	13	drawn	draw	VERB
cusj-5570	99	14	.	.	PUNCT
cusj-5570	100	1	the	the	DET
cusj-5570	100	2	neurolucida	neurolucida	PROPN
cusj-5570	100	3	explorer	explorer	PROPN
cusj-5570	100	4	program	program	NOUN
cusj-5570	100	5	was	be	AUX
cusj-5570	100	6	used	use	VERB
cusj-5570	100	7	to	to	PART
cusj-5570	100	8	measure	measure	VERB
cusj-5570	100	9	67	67	NUM
cusj-5570	100	10	morphological	morphological	ADJ
cusj-5570	100	11	variables	variable	NOUN
cusj-5570	100	12	of	of	ADP
cusj-5570	100	13	the	the	DET
cusj-5570	100	14	reconstruction	reconstruction	NOUN
cusj-5570	100	15	describing	describe	VERB
cusj-5570	100	16	somatic	somatic	NOUN
cusj-5570	100	17	,	,	PUNCT
cusj-5570	100	18	neuroscience	neuroscience	PROPN
cusj-5570	100	19	columbia	columbia	PROPN
cusj-5570	100	20	undergraduate	undergraduate	PROPN
cusj-5570	100	21	science	science	PROPN
cusj-5570	100	22	journal	journal	PROPN
cusj-5570	100	23	open	open	ADJ
cusj-5570	100	24	-	-	PUNCT
cusj-5570	100	25	access	access	NOUN
cusj-5570	100	26	publication	publication	NOUN
cusj-5570	100	27	|	|	NOUN
cusj-5570	100	28	http://cusj.columbia.edu	http://cusj.columbia.edu	PROPN
cusj-5570	100	29	spring	spring	NOUN
cusj-5570	100	30	2014	2014	NUM
cusj-5570	100	31	|	|	ADV
cusj-5570	100	32	volume	volume	NOUN
cusj-5570	100	33	8	8	NUM
cusj-5570	100	34	25	25	NUM
cusj-5570	100	35	dendritic	dendritic	ADJ
cusj-5570	100	36	,	,	PUNCT
cusj-5570	100	37	and	and	CCONJ
cusj-5570	100	38	axonal	axonal	ADJ
cusj-5570	100	39	properties	property	NOUN
cusj-5570	100	40	.	.	PUNCT
cusj-5570	101	1	see	see	VERB
cusj-5570	101	2	appendix	appendix	NOUN
cusj-5570	101	3	2	2	NUM
cusj-5570	101	4	for	for	ADP
cusj-5570	101	5	descriptions	description	NOUN
cusj-5570	101	6	.	.	PUNCT
cusj-5570	102	1	affinity	affinity	NOUN
cusj-5570	102	2	propagation	propagation	NOUN
cusj-5570	102	3	affinity	affinity	NOUN
cusj-5570	102	4	propagation	propagation	NOUN
cusj-5570	102	5	is	be	AUX
cusj-5570	102	6	a	a	DET
cusj-5570	102	7	clustering	cluster	VERB
cusj-5570	102	8	algorithm	algorithm	NOUN
cusj-5570	102	9	based	base	VERB
cusj-5570	102	10	on	on	ADP
cusj-5570	102	11	“	"	PUNCT
cusj-5570	102	12	passing	pass	VERB
cusj-5570	102	13	messages	message	NOUN
cusj-5570	102	14	”	"	PUNCT
cusj-5570	102	15	between	between	ADP
cusj-5570	102	16	data	datum	NOUN
cusj-5570	102	17	points6	points6	VERB
cusj-5570	102	18	.	.	PUNCT
cusj-5570	103	1	it	it	PRON
cusj-5570	103	2	aims	aim	VERB
cusj-5570	103	3	to	to	PART
cusj-5570	103	4	combine	combine	VERB
cusj-5570	103	5	the	the	DET
cusj-5570	103	6	advantages	advantage	NOUN
cusj-5570	103	7	of	of	ADP
cusj-5570	103	8	affinity	affinity	NOUN
cusj-5570	103	9	-	-	PUNCT
cusj-5570	103	10	based	base	VERB
cusj-5570	103	11	clustering	clustering	NOUN
cusj-5570	103	12	and	and	CCONJ
cusj-5570	103	13	model	model	NOUN
cusj-5570	103	14	-	-	PUNCT
cusj-5570	103	15	based	base	VERB
cusj-5570	103	16	clustering	clustering	NOUN
cusj-5570	103	17	.	.	PUNCT
cusj-5570	104	1	affinity	affinity	NOUN
cusj-5570	104	2	propagation	propagation	NOUN
cusj-5570	104	3	is	be	AUX
cusj-5570	104	4	similar	similar	ADJ
cusj-5570	104	5	to	to	PART
cusj-5570	104	6	kmetoid	kmetoid	VERB
cusj-5570	104	7	clustering	cluster	VERB
cusj-5570	104	8	in	in	ADP
cusj-5570	104	9	that	that	SCONJ
cusj-5570	104	10	both	both	PRON
cusj-5570	104	11	algorithms	algorithm	NOUN
cusj-5570	104	12	output	output	NOUN
cusj-5570	104	13	“	"	PUNCT
cusj-5570	104	14	exemplars	exemplar	NOUN
cusj-5570	104	15	”	"	PUNCT
cusj-5570	104	16	that	that	PRON
cusj-5570	104	17	either	either	CCONJ
cusj-5570	104	18	serve	serve	VERB
cusj-5570	104	19	as	as	ADP
cusj-5570	104	20	representative	representative	ADJ
cusj-5570	104	21	data	datum	NOUN
cusj-5570	104	22	or	or	CCONJ
cusj-5570	104	23	the	the	DET
cusj-5570	104	24	centers	center	NOUN
cusj-5570	104	25	of	of	ADP
cusj-5570	104	26	the	the	DET
cusj-5570	104	27	clusters	cluster	NOUN
cusj-5570	104	28	.	.	PUNCT
cusj-5570	105	1	unlike	unlike	ADP
cusj-5570	105	2	kmetoid	kmetoid	PROPN
cusj-5570	105	3	clustering	clustering	NOUN
cusj-5570	105	4	,	,	PUNCT
cusj-5570	105	5	the	the	DET
cusj-5570	105	6	exemplars	exemplar	NOUN
cusj-5570	105	7	are	be	AUX
cusj-5570	105	8	not	not	PART
cusj-5570	105	9	chosen	choose	VERB
cusj-5570	105	10	randomly	randomly	ADV
cusj-5570	105	11	in	in	ADP
cusj-5570	105	12	affinity	affinity	NOUN
cusj-5570	105	13	propagation	propagation	NOUN
cusj-5570	105	14	.	.	PUNCT
cusj-5570	106	1	affinity	affinity	NOUN
cusj-5570	106	2	propagation	propagation	NOUN
cusj-5570	106	3	takes	take	VERB
cusj-5570	106	4	an	an	DET
cusj-5570	106	5	input	input	NOUN
cusj-5570	106	6	of	of	ADP
cusj-5570	106	7	real	real	ADV
cusj-5570	106	8	-	-	PUNCT
cusj-5570	106	9	valued	value	VERB
cusj-5570	106	10	similarities	similarity	NOUN
cusj-5570	106	11	between	between	ADP
cusj-5570	106	12	data	datum	NOUN
cusj-5570	106	13	points	point	NOUN
cusj-5570	106	14	,	,	PUNCT
cusj-5570	106	15	where	where	SCONJ
cusj-5570	106	16	the	the	DET
cusj-5570	106	17	similarity	similarity	NOUN
cusj-5570	106	18	s(i	s(i	PROPN
cusj-5570	106	19	,	,	PUNCT
cusj-5570	106	20	k	k	NOUN
cusj-5570	106	21	)	)	PUNCT
cusj-5570	106	22	indicates	indicate	VERB
cusj-5570	106	23	how	how	SCONJ
cusj-5570	106	24	appropriate	appropriate	ADJ
cusj-5570	106	25	a	a	DET
cusj-5570	106	26	data	data	NOUN
cusj-5570	106	27	point	point	NOUN
cusj-5570	106	28	is	be	AUX
cusj-5570	106	29	to	to	PART
cusj-5570	106	30	serve	serve	VERB
cusj-5570	106	31	as	as	ADP
cusj-5570	106	32	an	an	DET
cusj-5570	106	33	exemplar	exemplar	NOUN
cusj-5570	106	34	for	for	ADP
cusj-5570	106	35	data	datum	NOUN
cusj-5570	106	36	point	point	NOUN
cusj-5570	106	37	i.	i.	PROPN
cusj-5570	106	38	negative	negative	PROPN
cusj-5570	106	39	euclidean	euclidean	ADJ
cusj-5570	106	40	distance	distance	NOUN
cusj-5570	106	41	is	be	AUX
cusj-5570	106	42	used	use	VERB
cusj-5570	106	43	to	to	PART
cusj-5570	106	44	measure	measure	VERB
cusj-5570	106	45	similarity	similarity	NOUN
cusj-5570	106	46	to	to	PART
cusj-5570	106	47	minimize	minimize	VERB
cusj-5570	106	48	squared	square	VERB
cusj-5570	106	49	error	error	NOUN
cusj-5570	106	50	:	:	PUNCT
cusj-5570	106	51	for	for	ADP
cusj-5570	106	52	points	point	NOUN
cusj-5570	106	53	xi	xi	X
cusj-5570	106	54	and	and	CCONJ
cusj-5570	106	55	xk	xk	PROPN
cusj-5570	106	56	,	,	PUNCT
cusj-5570	106	57	s(i	s(i	PROPN
cusj-5570	106	58	,	,	PUNCT
cusj-5570	106	59	k	k	NOUN
cusj-5570	106	60	)	)	PUNCT
cusj-5570	106	61	=	=	SYM
cusj-5570	106	62	−||xi	−||xi	PROPN
cusj-5570	106	63	−	−	PROPN
cusj-5570	106	64	xk||2	xk||2	PROPN
cusj-5570	106	65	.	.	PUNCT
cusj-5570	107	1	the	the	DET
cusj-5570	107	2	key	key	ADJ
cusj-5570	107	3	advantage	advantage	NOUN
cusj-5570	107	4	of	of	ADP
cusj-5570	107	5	affinity	affinity	NOUN
cusj-5570	107	6	propagation	propagation	NOUN
cusj-5570	107	7	is	be	AUX
cusj-5570	107	8	that	that	SCONJ
cusj-5570	107	9	it	it	PRON
cusj-5570	107	10	does	do	AUX
cusj-5570	107	11	not	not	PART
cusj-5570	107	12	require	require	VERB
cusj-5570	107	13	the	the	DET
cusj-5570	107	14	number	number	NOUN
cusj-5570	107	15	of	of	ADP
cusj-5570	107	16	clusters	cluster	NOUN
cusj-5570	107	17	to	to	PART
cusj-5570	107	18	be	be	AUX
cusj-5570	107	19	specified	specify	VERB
cusj-5570	107	20	beforehand	beforehand	ADV
cusj-5570	107	21	,	,	PUNCT
cusj-5570	107	22	unlike	unlike	ADP
cusj-5570	107	23	k	k	NOUN
cusj-5570	107	24	-	-	PUNCT
cusj-5570	107	25	means	mean	VERB
cusj-5570	107	26	cluster	cluster	NOUN
cusj-5570	107	27	analysis	analysis	NOUN
cusj-5570	107	28	.	.	PUNCT
cusj-5570	108	1	instead	instead	ADV
cusj-5570	108	2	,	,	PUNCT
cusj-5570	108	3	affinity	affinity	NOUN
cusj-5570	108	4	propagation	propagation	NOUN
cusj-5570	108	5	takes	take	VERB
cusj-5570	108	6	as	as	ADP
cusj-5570	108	7	input	input	NOUN
cusj-5570	108	8	a	a	DET
cusj-5570	108	9	real	real	ADJ
cusj-5570	108	10	number	number	NOUN
cusj-5570	108	11	s(k	s(k	ADP
cusj-5570	108	12	,	,	PUNCT
cusj-5570	108	13	k	k	NOUN
cusj-5570	108	14	)	)	PUNCT
cusj-5570	108	15	for	for	ADP
cusj-5570	108	16	each	each	DET
cusj-5570	108	17	data	datum	NOUN
cusj-5570	108	18	point	point	NOUN
cusj-5570	108	19	k	k	PROPN
cusj-5570	108	20	,	,	PUNCT
cusj-5570	108	21	such	such	ADJ
cusj-5570	108	22	that	that	SCONJ
cusj-5570	108	23	data	datum	NOUN
cusj-5570	108	24	points	point	NOUN
cusj-5570	108	25	with	with	ADP
cusj-5570	108	26	larger	large	ADJ
cusj-5570	108	27	values	value	NOUN
cusj-5570	108	28	of	of	ADP
cusj-5570	108	29	s(k	s(k	PROPN
cusj-5570	108	30	,	,	PUNCT
cusj-5570	108	31	k	k	NOUN
cusj-5570	108	32	)	)	PUNCT
cusj-5570	108	33	are	be	AUX
cusj-5570	108	34	more	more	ADV
cusj-5570	108	35	likely	likely	ADJ
cusj-5570	108	36	to	to	PART
cusj-5570	108	37	be	be	AUX
cusj-5570	108	38	selected	select	VERB
cusj-5570	108	39	as	as	ADP
cusj-5570	108	40	exemplars	exemplar	NOUN
cusj-5570	108	41	.	.	PUNCT
cusj-5570	109	1	there	there	PRON
cusj-5570	109	2	are	be	VERB
cusj-5570	109	3	two	two	NUM
cusj-5570	109	4	types	type	NOUN
cusj-5570	109	5	of	of	ADP
cusj-5570	109	6	messages	message	NOUN
cusj-5570	109	7	exchanged	exchange	VERB
cusj-5570	109	8	between	between	ADP
cusj-5570	109	9	data	datum	NOUN
cusj-5570	109	10	points	point	NOUN
cusj-5570	109	11	.	.	PUNCT
cusj-5570	110	1	the	the	DET
cusj-5570	110	2	first	first	ADJ
cusj-5570	110	3	type	type	NOUN
cusj-5570	110	4	called	call	VERB
cusj-5570	110	5	the	the	DET
cusj-5570	110	6	“	"	PUNCT
cusj-5570	110	7	responsibility	responsibility	NOUN
cusj-5570	110	8	”	"	PUNCT
cusj-5570	110	9	r(i	r(i	X
cusj-5570	110	10	,	,	PUNCT
cusj-5570	110	11	k	k	NOUN
cusj-5570	110	12	)	)	PUNCT
cusj-5570	110	13	,	,	PUNCT
cusj-5570	110	14	is	be	AUX
cusj-5570	110	15	sent	send	VERB
cusj-5570	110	16	from	from	ADP
cusj-5570	110	17	data	datum	NOUN
cusj-5570	110	18	point	point	NOUN
cusj-5570	110	19	i	i	PRON
cusj-5570	110	20	to	to	PART
cusj-5570	110	21	candidate	candidate	VERB
cusj-5570	110	22	exemplar	exemplar	ADJ
cusj-5570	110	23	point	point	NOUN
cusj-5570	110	24	k	k	PROPN
cusj-5570	110	25	,	,	PUNCT
cusj-5570	110	26	and	and	CCONJ
cusj-5570	110	27	represents	represent	VERB
cusj-5570	110	28	how	how	SCONJ
cusj-5570	110	29	well	well	ADV
cusj-5570	110	30	-	-	PUNCT
cusj-5570	110	31	suited	suit	VERB
cusj-5570	110	32	point	point	NOUN
cusj-5570	110	33	k	k	PROPN
cusj-5570	110	34	is	be	AUX
cusj-5570	110	35	to	to	PART
cusj-5570	110	36	serve	serve	VERB
cusj-5570	110	37	as	as	ADP
cusj-5570	110	38	the	the	DET
cusj-5570	110	39	exemplar	exemplar	NOUN
cusj-5570	110	40	for	for	ADP
cusj-5570	110	41	point	point	NOUN
cusj-5570	110	42	i	i	PRON
cusj-5570	110	43	,	,	PUNCT
cusj-5570	110	44	compared	compare	VERB
cusj-5570	110	45	to	to	ADP
cusj-5570	110	46	all	all	DET
cusj-5570	110	47	other	other	ADJ
cusj-5570	110	48	potential	potential	ADJ
cusj-5570	110	49	exemplars	exemplar	NOUN
cusj-5570	110	50	for	for	ADP
cusj-5570	110	51	point	point	NOUN
cusj-5570	110	52	i.	i.	NOUN
cusj-5570	110	53	the	the	DET
cusj-5570	110	54	second	second	ADJ
cusj-5570	110	55	type	type	NOUN
cusj-5570	110	56	,	,	PUNCT
cusj-5570	110	57	called	call	VERB
cusj-5570	110	58	the	the	DET
cusj-5570	110	59	“	"	PUNCT
cusj-5570	110	60	availability	availability	NOUN
cusj-5570	110	61	”	"	PUNCT
cusj-5570	110	62	a(i	a(i	PROPN
cusj-5570	110	63	,	,	PUNCT
cusj-5570	110	64	k	k	NOUN
cusj-5570	110	65	)	)	PUNCT
cusj-5570	110	66	,	,	PUNCT
cusj-5570	110	67	is	be	AUX
cusj-5570	110	68	sent	send	VERB
cusj-5570	110	69	from	from	ADP
cusj-5570	110	70	candidate	candidate	NOUN
cusj-5570	110	71	exemplar	exemplar	ADJ
cusj-5570	110	72	point	point	NOUN
cusj-5570	110	73	k	k	PROPN
cusj-5570	110	74	to	to	PART
cusj-5570	110	75	point	point	VERB
cusj-5570	110	76	i	i	PRON
cusj-5570	110	77	,	,	PUNCT
cusj-5570	110	78	and	and	CCONJ
cusj-5570	110	79	reflects	reflect	VERB
cusj-5570	110	80	the	the	DET
cusj-5570	110	81	compiled	compile	VERB
cusj-5570	110	82	evidence	evidence	NOUN
cusj-5570	110	83	for	for	ADP
cusj-5570	110	84	how	how	SCONJ
cusj-5570	110	85	appropriate	appropriate	ADJ
cusj-5570	110	86	it	it	PRON
cusj-5570	110	87	would	would	AUX
cusj-5570	110	88	be	be	AUX
cusj-5570	110	89	for	for	ADP
cusj-5570	110	90	point	point	NOUN
cusj-5570	110	91	i	i	PRON
cusj-5570	110	92	to	to	PART
cusj-5570	110	93	choose	choose	VERB
cusj-5570	110	94	point	point	NOUN
cusj-5570	110	95	k	k	PROPN
cusj-5570	110	96	as	as	ADP
cusj-5570	110	97	its	its	PRON
cusj-5570	110	98	exemplar	exemplar	NOUN
cusj-5570	110	99	,	,	PUNCT
cusj-5570	110	100	taking	take	VERB
cusj-5570	110	101	into	into	ADP
cusj-5570	110	102	account	account	NOUN
cusj-5570	110	103	the	the	DET
cusj-5570	110	104	support	support	NOUN
cusj-5570	110	105	from	from	ADP
cusj-5570	110	106	other	other	ADJ
cusj-5570	110	107	points	point	NOUN
cusj-5570	110	108	that	that	PRON
cusj-5570	110	109	point	point	NOUN
cusj-5570	110	110	k	k	PROPN
cusj-5570	110	111	should	should	AUX
cusj-5570	110	112	be	be	AUX
cusj-5570	110	113	an	an	DET
cusj-5570	110	114	exemplar	exemplar	NOUN
cusj-5570	110	115	.	.	PUNCT
cusj-5570	111	1	r(i	r(i	NOUN
cusj-5570	111	2	,	,	PUNCT
cusj-5570	111	3	k	k	NOUN
cusj-5570	111	4	)	)	PUNCT
cusj-5570	111	5	and	and	CCONJ
cusj-5570	111	6	a(i	a(i	VERB
cusj-5570	111	7	,	,	PUNCT
cusj-5570	111	8	k	k	NOUN
cusj-5570	111	9	)	)	PUNCT
cusj-5570	111	10	can	can	AUX
cusj-5570	111	11	be	be	AUX
cusj-5570	111	12	viewed	view	VERB
cusj-5570	111	13	as	as	ADP
cusj-5570	111	14	log	log	NOUN
cusj-5570	111	15	-	-	PUNCT
cusj-5570	111	16	probability	probability	NOUN
cusj-5570	111	17	ratios	ratio	NOUN
cusj-5570	111	18	.	.	PUNCT
cusj-5570	112	1	initially	initially	ADV
cusj-5570	112	2	,	,	PUNCT
cusj-5570	112	3	the	the	DET
cusj-5570	112	4	availabilities	availability	NOUN
cusj-5570	112	5	are	be	AUX
cusj-5570	112	6	initialized	initialize	VERB
cusj-5570	112	7	to	to	ADP
cusj-5570	112	8	zero	zero	NUM
cusj-5570	112	9	:	:	PUNCT
cusj-5570	112	10	a(i	a(i	VERB
cusj-5570	112	11	,	,	PUNCT
cusj-5570	112	12	k	k	NOUN
cusj-5570	112	13	)	)	PUNCT
cusj-5570	112	14	=	=	SYM
cusj-5570	113	1	0	0	X
cusj-5570	113	2	.	.	PUNCT
cusj-5570	114	1	then	then	ADV
cusj-5570	114	2	,	,	PUNCT
cusj-5570	114	3	the	the	DET
cusj-5570	114	4	responsibilities	responsibility	NOUN
cusj-5570	114	5	are	be	AUX
cusj-5570	114	6	computed	compute	VERB
cusj-5570	114	7	as	as	ADP
cusj-5570	114	8	:	:	PUNCT
cusj-5570	114	9	availabilities	availability	NOUN
cusj-5570	114	10	will	will	AUX
cusj-5570	114	11	eventually	eventually	ADV
cusj-5570	114	12	fall	fall	VERB
cusj-5570	114	13	below	below	ADP
cusj-5570	114	14	zero	zero	NUM
cusj-5570	114	15	as	as	SCONJ
cusj-5570	114	16	points	point	NOUN
cusj-5570	114	17	are	be	AUX
cusj-5570	114	18	assigned	assign	VERB
cusj-5570	114	19	to	to	ADP
cusj-5570	114	20	other	other	ADJ
cusj-5570	114	21	exemplars	exemplar	NOUN
cusj-5570	114	22	.	.	PUNCT
cusj-5570	115	1	this	this	PRON
cusj-5570	115	2	will	will	AUX
cusj-5570	115	3	decrease	decrease	VERB
cusj-5570	115	4	the	the	DET
cusj-5570	115	5	effective	effective	ADJ
cusj-5570	115	6	values	value	NOUN
cusj-5570	115	7	of	of	ADP
cusj-5570	115	8	the	the	DET
cusj-5570	115	9	input	input	NOUN
cusj-5570	115	10	similarities	similarity	NOUN
cusj-5570	115	11	,	,	PUNCT
cusj-5570	115	12	removing	remove	VERB
cusj-5570	115	13	candidate	candidate	NOUN
cusj-5570	115	14	exemplars	exemplar	NOUN
cusj-5570	115	15	from	from	ADP
cusj-5570	115	16	the	the	DET
cusj-5570	115	17	competition	competition	NOUN
cusj-5570	115	18	.	.	PUNCT
cusj-5570	116	1	whereas	whereas	SCONJ
cusj-5570	116	2	the	the	DET
cusj-5570	116	3	competition	competition	NOUN
cusj-5570	116	4	is	be	AUX
cusj-5570	116	5	data	data	NOUN
cusj-5570	116	6	-	-	PUNCT
cusj-5570	116	7	driven	drive	VERB
cusj-5570	116	8	for	for	ADP
cusj-5570	116	9	responsibilities	responsibility	NOUN
cusj-5570	116	10	and	and	CCONJ
cusj-5570	116	11	all	all	DET
cusj-5570	116	12	the	the	DET
cusj-5570	116	13	candidate	candidate	NOUN
cusj-5570	116	14	exemplars	exemplar	NOUN
cusj-5570	116	15	compete	compete	VERB
cusj-5570	116	16	for	for	ADP
cusj-5570	116	17	the	the	DET
cusj-5570	116	18	ownership	ownership	NOUN
cusj-5570	116	19	of	of	ADP
cusj-5570	116	20	a	a	DET
cusj-5570	116	21	data	data	NOUN
cusj-5570	116	22	point	point	NOUN
cusj-5570	116	23	,	,	PUNCT
cusj-5570	116	24	the	the	DET
cusj-5570	116	25	availability	availability	NOUN
cusj-5570	116	26	update	update	NOUN
cusj-5570	116	27	gathers	gather	VERB
cusj-5570	116	28	evidence	evidence	NOUN
cusj-5570	116	29	from	from	ADP
cusj-5570	116	30	data	datum	NOUN
cusj-5570	116	31	points	point	NOUN
cusj-5570	116	32	as	as	ADP
cusj-5570	116	33	to	to	ADP
cusj-5570	116	34	which	which	DET
cusj-5570	116	35	candidate	candidate	NOUN
cusj-5570	116	36	exemplar	exemplar	NOUN
cusj-5570	116	37	would	would	AUX
cusj-5570	116	38	make	make	VERB
cusj-5570	116	39	a	a	DET
cusj-5570	116	40	good	good	ADJ
cusj-5570	116	41	exemplar	exemplar	NOUN
cusj-5570	116	42	.	.	PUNCT
cusj-5570	117	1	the	the	DET
cusj-5570	117	2	availability	availability	NOUN
cusj-5570	117	3	a(i	a(i	NOUN
cusj-5570	117	4	,	,	PUNCT
cusj-5570	117	5	k	k	NOUN
cusj-5570	117	6	)	)	PUNCT
cusj-5570	117	7	is	be	AUX
cusj-5570	117	8	set	set	VERB
cusj-5570	117	9	to	to	ADP
cusj-5570	117	10	the	the	DET
cusj-5570	117	11	self	self	NOUN
cusj-5570	117	12	-	-	PUNCT
cusj-5570	117	13	responsibility	responsibility	NOUN
cusj-5570	117	14	plus	plus	CCONJ
cusj-5570	117	15	r(k	r(k	PROPN
cusj-5570	117	16	,	,	PUNCT
cusj-5570	117	17	k	k	NOUN
cusj-5570	117	18	)	)	PUNCT
cusj-5570	117	19	plus	plus	CCONJ
cusj-5570	117	20	the	the	DET
cusj-5570	117	21	sum	sum	NOUN
cusj-5570	117	22	of	of	ADP
cusj-5570	117	23	the	the	DET
cusj-5570	117	24	positive	positive	ADJ
cusj-5570	117	25	responsibilities	responsibility	NOUN
cusj-5570	117	26	candidate	candidate	NOUN
cusj-5570	117	27	exemplar	exemplar	NOUN
cusj-5570	117	28	k	k	PROPN
cusj-5570	117	29	receives	receive	VERB
cusj-5570	117	30	from	from	ADP
cusj-5570	117	31	other	other	ADJ
cusj-5570	117	32	points	point	NOUN
cusj-5570	117	33	:	:	PUNCT
cusj-5570	117	34	self	self	NOUN
cusj-5570	117	35	-	-	PUNCT
cusj-5570	117	36	availability	availability	NOUN
cusj-5570	117	37	a(k	a(k	PROPN
cusj-5570	117	38	,	,	PUNCT
cusj-5570	117	39	k	k	NOUN
cusj-5570	117	40	)	)	PUNCT
cusj-5570	117	41	reflects	reflect	VERB
cusj-5570	117	42	evidence	evidence	NOUN
cusj-5570	117	43	that	that	SCONJ
cusj-5570	117	44	k	k	PROPN
cusj-5570	117	45	is	be	AUX
cusj-5570	117	46	an	an	DET
cusj-5570	117	47	exemplar	exemplar	NOUN
cusj-5570	117	48	based	base	VERB
cusj-5570	117	49	on	on	ADP
cusj-5570	117	50	positive	positive	ADJ
cusj-5570	117	51	responsibilities	responsibility	NOUN
cusj-5570	117	52	sent	send	VERB
cusj-5570	117	53	to	to	PART
cusj-5570	117	54	candidate	candidate	VERB
cusj-5570	117	55	exemplar	exemplar	ADJ
cusj-5570	117	56	k	k	NOUN
cusj-5570	117	57	from	from	ADP
cusj-5570	117	58	other	other	ADJ
cusj-5570	117	59	points	point	NOUN
cusj-5570	117	60	:	:	PUNCT
cusj-5570	117	61	to	to	PART
cusj-5570	117	62	evaluate	evaluate	VERB
cusj-5570	117	63	the	the	DET
cusj-5570	117	64	quality	quality	NOUN
cusj-5570	117	65	of	of	ADP
cusj-5570	117	66	a	a	DET
cusj-5570	117	67	clustering	clustering	NOUN
cusj-5570	117	68	produced	produce	VERB
cusj-5570	117	69	by	by	ADP
cusj-5570	117	70	affinity	affinity	NOUN
cusj-5570	117	71	propagation	propagation	NOUN
cusj-5570	117	72	,	,	PUNCT
cusj-5570	117	73	we	we	PRON
cusj-5570	117	74	considered	consider	VERB
cusj-5570	117	75	two	two	NUM
cusj-5570	117	76	aspects	aspect	NOUN
cusj-5570	117	77	:	:	PUNCT
cusj-5570	117	78	(	(	PUNCT
cusj-5570	117	79	1	1	X
cusj-5570	117	80	)	)	PUNCT
cusj-5570	117	81	the	the	DET
cusj-5570	117	82	number	number	NOUN
cusj-5570	117	83	of	of	ADP
cusj-5570	117	84	points	point	NOUN
cusj-5570	117	85	that	that	PRON
cusj-5570	117	86	are	be	AUX
cusj-5570	117	87	correctly	correctly	ADV
cusj-5570	117	88	classified	classified	ADJ
cusj-5570	117	89	(	(	PUNCT
cusj-5570	117	90	2	2	NUM
cusj-5570	117	91	)	)	PUNCT
cusj-5570	117	92	the	the	DET
cusj-5570	117	93	number	number	NOUN
cusj-5570	117	94	of	of	ADP
cusj-5570	117	95	clusters	cluster	NOUN
cusj-5570	117	96	with	with	ADP
cusj-5570	117	97	affinity	affinity	NOUN
cusj-5570	117	98	propagation	propagation	NOUN
cusj-5570	117	99	,	,	PUNCT
cusj-5570	117	100	we	we	PRON
cusj-5570	117	101	make	make	VERB
cusj-5570	117	102	the	the	DET
cusj-5570	117	103	assumption	assumption	NOUN
cusj-5570	117	104	that	that	SCONJ
cusj-5570	117	105	the	the	DET
cusj-5570	117	106	identities	identity	NOUN
cusj-5570	117	107	of	of	ADP
cusj-5570	117	108	the	the	DET
cusj-5570	117	109	exemplars	exemplar	NOUN
cusj-5570	117	110	are	be	AUX
cusj-5570	117	111	known	know	VERB
cusj-5570	117	112	,	,	PUNCT
cusj-5570	117	113	and	and	CCONJ
cusj-5570	117	114	so	so	ADV
cusj-5570	117	115	the	the	DET
cusj-5570	117	116	number	number	NOUN
cusj-5570	117	117	of	of	ADP
cusj-5570	117	118	correctly	correctly	ADV
cusj-5570	117	119	classified	classified	ADJ
cusj-5570	117	120	points	point	NOUN
cusj-5570	117	121	may	may	AUX
cusj-5570	117	122	artificially	artificially	ADV
cusj-5570	117	123	increase	increase	VERB
cusj-5570	117	124	.	.	PUNCT
cusj-5570	118	1	therefore	therefore	ADV
cusj-5570	118	2	,	,	PUNCT
cusj-5570	118	3	we	we	PRON
cusj-5570	118	4	compute	compute	VERB
cusj-5570	118	5	the	the	DET
cusj-5570	118	6	classification	classification	NOUN
cusj-5570	118	7	accuracy	accuracy	NOUN
cusj-5570	118	8	as	as	ADP
cusj-5570	118	9	the	the	DET
cusj-5570	118	10	ratio	ratio	NOUN
cusj-5570	118	11	between	between	ADP
cusj-5570	118	12	correctly	correctly	ADV
cusj-5570	118	13	classified	classified	ADJ
cusj-5570	118	14	points	point	NOUN
cusj-5570	118	15	(	(	PUNCT
cusj-5570	118	16	excluding	exclude	VERB
cusj-5570	118	17	the	the	DET
cusj-5570	118	18	exemplars	exemplar	NOUN
cusj-5570	118	19	)	)	PUNCT
cusj-5570	118	20	and	and	CCONJ
cusj-5570	118	21	the	the	DET
cusj-5570	118	22	total	total	ADJ
cusj-5570	118	23	number	number	NOUN
cusj-5570	118	24	of	of	ADP
cusj-5570	118	25	points	point	NOUN
cusj-5570	118	26	(	(	PUNCT
cusj-5570	118	27	excluding	exclude	VERB
cusj-5570	118	28	the	the	DET
cusj-5570	118	29	exemplars	exemplar	NOUN
cusj-5570	118	30	)	)	PUNCT
cusj-5570	118	31	.	.	PUNCT
cusj-5570	119	1	in	in	ADP
cusj-5570	119	2	addition	addition	NOUN
cusj-5570	119	3	,	,	PUNCT
cusj-5570	119	4	a	a	DET
cusj-5570	119	5	low	low	ADJ
cusj-5570	119	6	number	number	NOUN
cusj-5570	119	7	of	of	ADP
cusj-5570	119	8	clusters	cluster	NOUN
cusj-5570	119	9	is	be	AUX
cusj-5570	119	10	preferred	prefer	VERB
cusj-5570	119	11	.	.	PUNCT
cusj-5570	120	1	results	result	NOUN
cusj-5570	120	2	database	database	NOUN
cusj-5570	120	3	of	of	ADP
cusj-5570	120	4	three	three	NUM
cusj-5570	120	5	known	know	VERB
cusj-5570	120	6	interneuron	interneuron	NOUN
cusj-5570	120	7	subtypes	subtype	NOUN
cusj-5570	120	8	we	we	PRON
cusj-5570	120	9	explored	explore	VERB
cusj-5570	120	10	the	the	DET
cusj-5570	120	11	use	use	NOUN
cusj-5570	120	12	of	of	ADP
cusj-5570	120	13	affinity	affinity	NOUN
cusj-5570	120	14	propagation	propagation	NOUN
cusj-5570	120	15	to	to	PART
cusj-5570	120	16	classify	classify	VERB
cusj-5570	120	17	neocortical	neocortical	ADJ
cusj-5570	120	18	interneurons	interneuron	NOUN
cusj-5570	120	19	based	base	VERB
cusj-5570	120	20	on	on	ADP
cusj-5570	120	21	their	their	PRON
cusj-5570	120	22	morphological	morphological	ADJ
cusj-5570	120	23	and	and	CCONJ
cusj-5570	120	24	physiological	physiological	ADJ
cusj-5570	120	25	properties	property	NOUN
cusj-5570	120	26	.	.	PUNCT
cusj-5570	121	1	in	in	ADP
cusj-5570	121	2	order	order	NOUN
cusj-5570	121	3	to	to	PART
cusj-5570	121	4	test	test	VERB
cusj-5570	121	5	the	the	DET
cusj-5570	121	6	affinity	affinity	NOUN
cusj-5570	121	7	propagation	propagation	NOUN
cusj-5570	121	8	algorithm	algorithm	NOUN
cusj-5570	121	9	,	,	PUNCT
cusj-5570	121	10	we	we	PRON
cusj-5570	121	11	used	use	VERB
cusj-5570	121	12	a	a	DET
cusj-5570	121	13	dataset	dataset	NOUN
cusj-5570	121	14	where	where	SCONJ
cusj-5570	121	15	the	the	DET
cusj-5570	121	16	identities	identity	NOUN
cusj-5570	121	17	of	of	ADP
cusj-5570	121	18	the	the	DET
cusj-5570	121	19	neurons	neuron	NOUN
cusj-5570	121	20	were	be	AUX
cusj-5570	121	21	known	know	VERB
cusj-5570	121	22	from	from	ADP
cusj-5570	121	23	previous	previous	ADJ
cusj-5570	121	24	studies12	studies12	NOUN
cusj-5570	121	25	,	,	PUNCT
cusj-5570	121	26	13	13	NUM
cusj-5570	121	27	,	,	PUNCT
cusj-5570	121	28	17	17	NUM
cusj-5570	121	29	.	.	PUNCT
cusj-5570	122	1	more	more	ADV
cusj-5570	122	2	specifically	specifically	ADV
cusj-5570	122	3	,	,	PUNCT
cusj-5570	122	4	we	we	PRON
cusj-5570	122	5	used	use	VERB
cusj-5570	122	6	a	a	DET
cusj-5570	122	7	physiology	physiology	NOUN
cusj-5570	122	8	database	database	NOUN
cusj-5570	122	9	that	that	PRON
cusj-5570	122	10	contained	contain	VERB
cusj-5570	122	11	337	337	NUM
cusj-5570	122	12	interneurons	interneuron	NOUN
cusj-5570	122	13	distributed	distribute	VERB
cusj-5570	122	14	as	as	ADP
cusj-5570	122	15	:	:	PUNCT
cusj-5570	122	16	57	57	NUM
cusj-5570	122	17	somatostatinpositive	somatostatinpositive	ADJ
cusj-5570	122	18	cells	cell	NOUN
cusj-5570	122	19	(	(	PUNCT
cusj-5570	122	20	som+	som+	PROPN
cusj-5570	122	21	)	)	PUNCT
cusj-5570	122	22	,	,	PUNCT
cusj-5570	122	23	87	87	NUM
cusj-5570	122	24	chandelier	chandelier	NOUN
cusj-5570	122	25	cells	cell	NOUN
cusj-5570	122	26	(	(	PUNCT
cusj-5570	122	27	chc	chc	PROPN
cusj-5570	122	28	)	)	PUNCT
cusj-5570	122	29	,	,	PUNCT
cusj-5570	122	30	and	and	CCONJ
cusj-5570	122	31	193	193	NUM
cusj-5570	122	32	parvalbumin	parvalbumin	ADJ
cusj-5570	122	33	-	-	PUNCT
cusj-5570	122	34	positive	positive	ADJ
cusj-5570	122	35	cells	cell	NOUN
cusj-5570	122	36	(	(	PUNCT
cusj-5570	122	37	pv+	pv+	ADJ
cusj-5570	122	38	)	)	PUNCT
cusj-5570	122	39	.	.	PUNCT
cusj-5570	123	1	the	the	DET
cusj-5570	123	2	morphology	morphology	NOUN
cusj-5570	123	3	database	database	NOUN
cusj-5570	123	4	consisted	consist	VERB
cusj-5570	123	5	of	of	ADP
cusj-5570	123	6	111	111	NUM
cusj-5570	123	7	interneurons	interneuron	NOUN
cusj-5570	123	8	distributed	distribute	VERB
cusj-5570	123	9	as	as	ADP
cusj-5570	123	10	:	:	PUNCT
cusj-5570	123	11	24	24	NUM
cusj-5570	123	12	chc	chc	NOUN
cusj-5570	123	13	,	,	PUNCT
cusj-5570	123	14	55	55	NUM
cusj-5570	123	15	som+	som+	NOUN
cusj-5570	123	16	and	and	CCONJ
cusj-5570	123	17	32	32	NUM
cusj-5570	123	18	pv+	pv+	ADJ
cusj-5570	123	19	.	.	PUNCT
cusj-5570	124	1	lastly	lastly	ADV
cusj-5570	124	2	,	,	PUNCT
cusj-5570	124	3	there	there	PRON
cusj-5570	124	4	were	be	VERB
cusj-5570	124	5	51	51	NUM
cusj-5570	124	6	neurons	neuron	NOUN
cusj-5570	124	7	in	in	ADP
cusj-5570	124	8	a	a	DET
cusj-5570	124	9	neuroscience	neuroscience	NOUN
cusj-5570	124	10	columbia	columbia	PROPN
cusj-5570	124	11	undergraduate	undergraduate	PROPN
cusj-5570	124	12	science	science	PROPN
cusj-5570	124	13	journal	journal	PROPN
cusj-5570	124	14	open	open	ADJ
cusj-5570	124	15	-	-	PUNCT
cusj-5570	124	16	access	access	NOUN
cusj-5570	124	17	publication	publication	NOUN
cusj-5570	124	18	|	|	NOUN
cusj-5570	124	19	http://cusj.columbia.edu	http://cusj.columbia.edu	PROPN
cusj-5570	124	20	spring	spring	NOUN
cusj-5570	124	21	2014	2014	NUM
cusj-5570	124	22	|	|	ADV
cusj-5570	124	23	volume	volume	NOUN
cusj-5570	124	24	8	8	NUM
cusj-5570	124	25	26	26	NUM
cusj-5570	124	26	database	database	NOUN
cusj-5570	124	27	that	that	PRON
cusj-5570	124	28	consisted	consist	VERB
cusj-5570	124	29	of	of	ADP
cusj-5570	124	30	both	both	DET
cusj-5570	124	31	morphology	morphology	NOUN
cusj-5570	124	32	and	and	CCONJ
cusj-5570	124	33	physiology	physiology	NOUN
cusj-5570	124	34	variables	variable	NOUN
cusj-5570	124	35	,	,	PUNCT
cusj-5570	124	36	formed	form	VERB
cusj-5570	124	37	by	by	ADP
cusj-5570	124	38	an	an	DET
cusj-5570	124	39	intersection	intersection	NOUN
cusj-5570	124	40	of	of	ADP
cusj-5570	124	41	the	the	DET
cusj-5570	124	42	two	two	NUM
cusj-5570	124	43	databases	database	NOUN
cusj-5570	124	44	.	.	PUNCT
cusj-5570	125	1	its	its	PRON
cusj-5570	125	2	distribution	distribution	NOUN
cusj-5570	125	3	was	be	AUX
cusj-5570	125	4	:	:	PUNCT
cusj-5570	125	5	12	12	NUM
cusj-5570	125	6	pv+	pv+	ADJ
cusj-5570	125	7	,	,	PUNCT
cusj-5570	125	8	16	16	NUM
cusj-5570	125	9	som+	som+	NOUN
cusj-5570	125	10	and	and	CCONJ
cusj-5570	125	11	23	23	NUM
cusj-5570	125	12	chc	chc	NOUN
cusj-5570	125	13	.	.	PUNCT
cusj-5570	126	1	affinity	affinity	NOUN
cusj-5570	126	2	propagation	propagation	NOUN
cusj-5570	126	3	classification	classification	NOUN
cusj-5570	126	4	of	of	ADP
cusj-5570	126	5	interneuron	interneuron	NOUN
cusj-5570	126	6	morphologies	morphologie	VERB
cusj-5570	126	7	the	the	DET
cusj-5570	126	8	analysis	analysis	NOUN
cusj-5570	126	9	of	of	ADP
cusj-5570	126	10	the	the	DET
cusj-5570	126	11	morphology	morphology	NOUN
cusj-5570	126	12	database	database	NOUN
cusj-5570	126	13	resulted	result	VERB
cusj-5570	126	14	in	in	ADP
cusj-5570	126	15	2	2	NUM
cusj-5570	126	16	clusters	cluster	NOUN
cusj-5570	126	17	(	(	PUNCT
cusj-5570	126	18	figure	figure	NOUN
cusj-5570	126	19	1	1	NUM
cusj-5570	126	20	)	)	PUNCT
cusj-5570	126	21	.	.	PUNCT
cusj-5570	127	1	the	the	DET
cusj-5570	127	2	first	first	ADJ
cusj-5570	127	3	cluster	cluster	NOUN
cusj-5570	127	4	consists	consist	VERB
cusj-5570	127	5	of	of	ADP
cusj-5570	127	6	84	84	NUM
cusj-5570	127	7	neurons	neuron	NOUN
cusj-5570	127	8	while	while	SCONJ
cusj-5570	127	9	the	the	DET
cusj-5570	127	10	second	second	ADJ
cusj-5570	127	11	cluster	cluster	NOUN
cusj-5570	127	12	had	have	VERB
cusj-5570	127	13	27	27	NUM
cusj-5570	127	14	neurons	neuron	NOUN
cusj-5570	127	15	.	.	PUNCT
cusj-5570	128	1	the	the	DET
cusj-5570	128	2	first	first	ADJ
cusj-5570	128	3	cluster	cluster	NOUN
cusj-5570	128	4	had	have	VERB
cusj-5570	128	5	an	an	DET
cusj-5570	128	6	exemplar	exemplar	NOUN
cusj-5570	128	7	of	of	ADP
cusj-5570	128	8	member	member	NOUN
cusj-5570	128	9	42	42	NUM
cusj-5570	128	10	,	,	PUNCT
cusj-5570	128	11	a	a	DET
cusj-5570	128	12	som+	som+	PROPN
cusj-5570	128	13	interneuron	interneuron	NOUN
cusj-5570	128	14	.	.	PUNCT
cusj-5570	129	1	it	it	PRON
cusj-5570	129	2	consists	consist	VERB
cusj-5570	129	3	of	of	ADP
cusj-5570	129	4	:	:	PUNCT
cusj-5570	129	5	22	22	NUM
cusj-5570	129	6	chc	chc	NOUN
cusj-5570	129	7	,	,	PUNCT
cusj-5570	129	8	32	32	NUM
cusj-5570	129	9	som+	som+	PROPN
cusj-5570	129	10	and	and	CCONJ
cusj-5570	129	11	30	30	NUM
cusj-5570	129	12	pv+	pv+	ADJ
cusj-5570	129	13	.	.	PUNCT
cusj-5570	130	1	even	even	ADV
cusj-5570	130	2	though	though	SCONJ
cusj-5570	130	3	this	this	DET
cusj-5570	130	4	cluster	cluster	NOUN
cusj-5570	130	5	has	have	VERB
cusj-5570	130	6	an	an	DET
cusj-5570	130	7	exemplar	exemplar	NOUN
cusj-5570	130	8	of	of	ADP
cusj-5570	130	9	som+	som+	NOUN
cusj-5570	130	10	subtype	subtype	NOUN
cusj-5570	130	11	,	,	PUNCT
cusj-5570	130	12	this	this	DET
cusj-5570	130	13	cluster	cluster	NOUN
cusj-5570	130	14	encompasses	encompass	VERB
cusj-5570	130	15	all	all	DET
cusj-5570	130	16	the	the	DET
cusj-5570	130	17	pv	pv	NOUN
cusj-5570	130	18	neurons	neuron	NOUN
cusj-5570	130	19	with	with	ADP
cusj-5570	130	20	an	an	DET
cusj-5570	130	21	accuracy	accuracy	NOUN
cusj-5570	130	22	of	of	ADP
cusj-5570	130	23	93.75	93.75	NUM
cusj-5570	130	24	%	%	NOUN
cusj-5570	130	25	.	.	PUNCT
cusj-5570	131	1	however	however	ADV
cusj-5570	131	2	,	,	PUNCT
cusj-5570	131	3	it	it	PRON
cusj-5570	131	4	only	only	ADV
cusj-5570	131	5	classifies	classify	VERB
cusj-5570	131	6	26.19	26.19	NUM
cusj-5570	131	7	%	%	NOUN
cusj-5570	131	8	of	of	ADP
cusj-5570	131	9	the	the	DET
cusj-5570	131	10	som+	som+	PROPN
cusj-5570	131	11	interneurons	interneuron	NOUN
cusj-5570	131	12	correctly	correctly	ADV
cusj-5570	131	13	.	.	PUNCT
cusj-5570	132	1	the	the	DET
cusj-5570	132	2	second	second	ADJ
cusj-5570	132	3	cluster	cluster	NOUN
cusj-5570	132	4	consists	consist	VERB
cusj-5570	132	5	of	of	ADP
cusj-5570	132	6	:	:	PUNCT
cusj-5570	132	7	2	2	NUM
cusj-5570	132	8	cc	cc	NOUN
cusj-5570	132	9	,	,	PUNCT
cusj-5570	132	10	23	23	NUM
cusj-5570	132	11	som+	som+	NOUN
cusj-5570	132	12	and	and	CCONJ
cusj-5570	132	13	2	2	NUM
cusj-5570	132	14	pv+	pv+	ADJ
cusj-5570	132	15	.	.	PUNCT
cusj-5570	133	1	its	its	PRON
cusj-5570	133	2	exemplar	exemplar	NOUN
cusj-5570	133	3	is	be	AUX
cusj-5570	133	4	member	member	NOUN
cusj-5570	133	5	83	83	NUM
cusj-5570	133	6	,	,	PUNCT
cusj-5570	133	7	a	a	DET
cusj-5570	133	8	som+	som+	PROPN
cusj-5570	133	9	neuron	neuron	NOUN
cusj-5570	133	10	.	.	PUNCT
cusj-5570	134	1	thus	thus	ADV
cusj-5570	134	2	,	,	PUNCT
cusj-5570	134	3	85.9	85.9	NUM
cusj-5570	134	4	%	%	NOUN
cusj-5570	134	5	of	of	ADP
cusj-5570	134	6	the	the	DET
cusj-5570	134	7	som+	som+	PROPN
cusj-5570	134	8	neurons	neuron	NOUN
cusj-5570	134	9	were	be	AUX
cusj-5570	134	10	correctly	correctly	ADV
cusj-5570	134	11	classified	classified	ADJ
cusj-5570	134	12	.	.	PUNCT
cusj-5570	135	1	this	this	PRON
cusj-5570	135	2	suggests	suggest	VERB
cusj-5570	135	3	that	that	SCONJ
cusj-5570	135	4	the	the	DET
cusj-5570	135	5	second	second	ADJ
cusj-5570	135	6	cluster	cluster	NOUN
cusj-5570	135	7	with	with	ADP
cusj-5570	135	8	an	an	DET
cusj-5570	135	9	exemplar	exemplar	NOUN
cusj-5570	135	10	of	of	ADP
cusj-5570	135	11	member	member	NOUN
cusj-5570	135	12	83	83	NUM
cusj-5570	135	13	is	be	AUX
cusj-5570	135	14	truly	truly	ADV
cusj-5570	135	15	representative	representative	ADJ
cusj-5570	135	16	of	of	ADP
cusj-5570	135	17	som+	som+	ADJ
cusj-5570	135	18	neuronal	neuronal	ADJ
cusj-5570	135	19	subtype	subtype	NOUN
cusj-5570	135	20	while	while	SCONJ
cusj-5570	135	21	the	the	DET
cusj-5570	135	22	first	first	ADJ
cusj-5570	135	23	cluster	cluster	NOUN
cusj-5570	135	24	is	be	AUX
cusj-5570	135	25	representative	representative	ADJ
cusj-5570	135	26	of	of	ADP
cusj-5570	135	27	the	the	DET
cusj-5570	135	28	pv	pv	NOUN
cusj-5570	135	29	subtype	subtype	NOUN
cusj-5570	135	30	.	.	PUNCT
cusj-5570	136	1	figure	figure	NOUN
cusj-5570	136	2	1	1	NUM
cusj-5570	136	3	:	:	PUNCT
cusj-5570	136	4	using	use	VERB
cusj-5570	136	5	20	20	NUM
cusj-5570	136	6	electrophysiological	electrophysiological	ADJ
cusj-5570	136	7	variables	variable	NOUN
cusj-5570	136	8	,	,	PUNCT
cusj-5570	136	9	110	110	NUM
cusj-5570	136	10	interneurons	interneuron	NOUN
cusj-5570	136	11	were	be	AUX
cusj-5570	136	12	classified	classify	VERB
cusj-5570	136	13	into	into	ADP
cusj-5570	136	14	2	2	NUM
cusj-5570	136	15	clusters	cluster	NOUN
cusj-5570	136	16	by	by	ADP
cusj-5570	136	17	affinity	affinity	NOUN
cusj-5570	136	18	propagation	propagation	NOUN
cusj-5570	136	19	where	where	SCONJ
cusj-5570	136	20	the	the	DET
cusj-5570	136	21	exemplars	exemplar	NOUN
cusj-5570	136	22	are	be	AUX
cusj-5570	136	23	members	member	NOUN
cusj-5570	136	24	42	42	NUM
cusj-5570	136	25	and	and	CCONJ
cusj-5570	136	26	83	83	NUM
cusj-5570	136	27	.	.	PUNCT
cusj-5570	137	1	affinity	affinity	NOUN
cusj-5570	137	2	propagation	propagation	NOUN
cusj-5570	137	3	classification	classification	NOUN
cusj-5570	137	4	of	of	ADP
cusj-5570	137	5	interneuron	interneuron	NOUN
cusj-5570	137	6	physiologies	physiologie	VERB
cusj-5570	137	7	the	the	DET
cusj-5570	137	8	analysis	analysis	NOUN
cusj-5570	137	9	of	of	ADP
cusj-5570	137	10	the	the	DET
cusj-5570	137	11	physiology	physiology	NOUN
cusj-5570	137	12	database	database	NOUN
cusj-5570	137	13	revealed	reveal	VERB
cusj-5570	137	14	3	3	NUM
cusj-5570	137	15	distinct	distinct	ADJ
cusj-5570	137	16	clusters	cluster	NOUN
cusj-5570	137	17	(	(	PUNCT
cusj-5570	137	18	figure	figure	NOUN
cusj-5570	137	19	2	2	NUM
cusj-5570	137	20	)	)	PUNCT
cusj-5570	137	21	.	.	PUNCT
cusj-5570	138	1	the	the	DET
cusj-5570	138	2	first	first	ADJ
cusj-5570	138	3	cluster	cluster	NOUN
cusj-5570	138	4	consisted	consist	VERB
cusj-5570	138	5	of	of	ADP
cusj-5570	138	6	57	57	NUM
cusj-5570	138	7	som+	som+	PROPN
cusj-5570	138	8	neurons	neuron	NOUN
cusj-5570	138	9	with	with	ADP
cusj-5570	138	10	an	an	DET
cusj-5570	138	11	exemplar	exemplar	NOUN
cusj-5570	138	12	of	of	ADP
cusj-5570	138	13	member	member	NOUN
cusj-5570	138	14	21	21	NUM
cusj-5570	138	15	,	,	PUNCT
cusj-5570	138	16	also	also	ADV
cusj-5570	138	17	a	a	DET
cusj-5570	138	18	member	member	NOUN
cusj-5570	138	19	of	of	ADP
cusj-5570	138	20	the	the	DET
cusj-5570	138	21	som+	som+	PROPN
cusj-5570	138	22	subtype	subtype	NOUN
cusj-5570	138	23	.	.	PUNCT
cusj-5570	139	1	hence	hence	ADV
cusj-5570	139	2	,	,	PUNCT
cusj-5570	139	3	100	100	NUM
cusj-5570	139	4	%	%	NOUN
cusj-5570	139	5	of	of	ADP
cusj-5570	139	6	the	the	DET
cusj-5570	139	7	som+	som+	PROPN
cusj-5570	139	8	neurons	neuron	NOUN
cusj-5570	139	9	were	be	AUX
cusj-5570	139	10	correctly	correctly	ADV
cusj-5570	139	11	classified	classify	VERB
cusj-5570	139	12	by	by	ADP
cusj-5570	139	13	the	the	DET
cusj-5570	139	14	affinity	affinity	NOUN
cusj-5570	139	15	propagation	propagation	NOUN
cusj-5570	139	16	algorithm	algorithm	NOUN
cusj-5570	139	17	.	.	PUNCT
cusj-5570	140	1	the	the	DET
cusj-5570	140	2	second	second	ADJ
cusj-5570	140	3	cluster	cluster	NOUN
cusj-5570	140	4	consisted	consist	VERB
cusj-5570	140	5	of	of	ADP
cusj-5570	140	6	8	8	NUM
cusj-5570	140	7	pv+	pv+	ADJ
cusj-5570	140	8	and	and	CCONJ
cusj-5570	140	9	87	87	NUM
cusj-5570	140	10	cc	cc	NOUN
cusj-5570	140	11	neurons	neuron	NOUN
cusj-5570	140	12	,	,	PUNCT
cusj-5570	140	13	where	where	SCONJ
cusj-5570	140	14	the	the	DET
cusj-5570	140	15	exemplar	exemplar	NOUN
cusj-5570	140	16	was	be	AUX
cusj-5570	140	17	a	a	DET
cusj-5570	140	18	part	part	NOUN
cusj-5570	140	19	of	of	ADP
cusj-5570	140	20	the	the	DET
cusj-5570	140	21	cc	cc	PROPN
cusj-5570	140	22	class	class	PROPN
cusj-5570	140	23	(	(	PUNCT
cusj-5570	140	24	member	member	NOUN
cusj-5570	140	25	322	322	NUM
cusj-5570	140	26	)	)	PUNCT
cusj-5570	140	27	.	.	PUNCT
cusj-5570	141	1	it	it	PRON
cusj-5570	141	2	correctly	correctly	ADV
cusj-5570	141	3	classified	classify	VERB
cusj-5570	141	4	90.80	90.80	NUM
cusj-5570	141	5	%	%	NOUN
cusj-5570	141	6	of	of	ADP
cusj-5570	141	7	the	the	DET
cusj-5570	141	8	cc	cc	PROPN
cusj-5570	141	9	neurons	neuron	NOUN
cusj-5570	141	10	.	.	PUNCT
cusj-5570	142	1	the	the	DET
cusj-5570	142	2	third	third	ADJ
cusj-5570	142	3	cluster	cluster	NOUN
cusj-5570	142	4	consisted	consist	VERB
cusj-5570	142	5	of	of	ADP
cusj-5570	142	6	142	142	NUM
cusj-5570	142	7	cc	cc	NOUN
cusj-5570	142	8	and	and	CCONJ
cusj-5570	142	9	51	51	NUM
cusj-5570	142	10	pv+	pv+	ADJ
cusj-5570	142	11	and	and	CCONJ
cusj-5570	142	12	had	have	VERB
cusj-5570	142	13	an	an	DET
cusj-5570	142	14	exemplar	exemplar	NOUN
cusj-5570	142	15	of	of	ADP
cusj-5570	142	16	326	326	NUM
cusj-5570	142	17	,	,	PUNCT
cusj-5570	142	18	a	a	DET
cusj-5570	142	19	member	member	NOUN
cusj-5570	142	20	of	of	ADP
cusj-5570	142	21	the	the	DET
cusj-5570	142	22	pv	pv	NOUN
cusj-5570	142	23	class	class	NOUN
cusj-5570	142	24	.	.	PUNCT
cusj-5570	143	1	while	while	SCONJ
cusj-5570	143	2	the	the	DET
cusj-5570	143	3	exemplar	exemplar	NOUN
cusj-5570	143	4	was	be	AUX
cusj-5570	143	5	representative	representative	NOUN
cusj-5570	143	6	of	of	ADP
cusj-5570	143	7	the	the	DET
cusj-5570	143	8	pv+	pv+	ADJ
cusj-5570	143	9	subtype	subtype	NOUN
cusj-5570	143	10	,	,	PUNCT
cusj-5570	143	11	only	only	ADV
cusj-5570	143	12	26.42	26.42	NUM
cusj-5570	143	13	%	%	NOUN
cusj-5570	143	14	of	of	ADP
cusj-5570	143	15	the	the	DET
cusj-5570	143	16	pv+	pv+	ADJ
cusj-5570	143	17	neurons	neuron	NOUN
cusj-5570	143	18	were	be	AUX
cusj-5570	143	19	correctly	correctly	ADV
cusj-5570	143	20	classified	classified	ADJ
cusj-5570	143	21	.	.	PUNCT
cusj-5570	144	1	figure	figure	NOUN
cusj-5570	144	2	2	2	NUM
cusj-5570	144	3	:	:	PUNCT
cusj-5570	144	4	using	use	VERB
cusj-5570	144	5	67	67	NUM
cusj-5570	144	6	electrophysiological	electrophysiological	ADJ
cusj-5570	144	7	variables	variable	NOUN
cusj-5570	144	8	,	,	PUNCT
cusj-5570	144	9	337	337	NUM
cusj-5570	144	10	interneurons	interneuron	NOUN
cusj-5570	144	11	were	be	AUX
cusj-5570	144	12	classified	classify	VERB
cusj-5570	144	13	into	into	ADP
cusj-5570	144	14	3	3	NUM
cusj-5570	144	15	clusters	cluster	NOUN
cusj-5570	144	16	by	by	ADP
cusj-5570	144	17	affinity	affinity	NOUN
cusj-5570	144	18	propagation	propagation	NOUN
cusj-5570	144	19	where	where	SCONJ
cusj-5570	144	20	the	the	DET
cusj-5570	144	21	exemplars	exemplar	NOUN
cusj-5570	144	22	are	be	AUX
cusj-5570	144	23	members	member	NOUN
cusj-5570	144	24	21	21	NUM
cusj-5570	144	25	,	,	PUNCT
cusj-5570	144	26	322	322	NUM
cusj-5570	144	27	,	,	PUNCT
cusj-5570	144	28	and	and	CCONJ
cusj-5570	144	29	326	326	NUM
cusj-5570	144	30	.	.	X
cusj-5570	145	1	affinity	affinity	NOUN
cusj-5570	145	2	propagation	propagation	NOUN
cusj-5570	145	3	classification	classification	NOUN
cusj-5570	145	4	of	of	ADP
cusj-5570	145	5	interneuron	interneuron	NOUN
cusj-5570	145	6	joint	joint	NOUN
cusj-5570	145	7	databases	database	NOUN
cusj-5570	145	8	the	the	DET
cusj-5570	145	9	analysis	analysis	NOUN
cusj-5570	145	10	of	of	ADP
cusj-5570	145	11	the	the	DET
cusj-5570	145	12	interneuron	interneuron	NOUN
cusj-5570	145	13	joint	joint	ADJ
cusj-5570	145	14	database	database	NOUN
cusj-5570	145	15	resulted	result	VERB
cusj-5570	145	16	in	in	ADP
cusj-5570	145	17	2	2	NUM
cusj-5570	145	18	clusters	cluster	NOUN
cusj-5570	145	19	(	(	PUNCT
cusj-5570	145	20	figure	figure	NOUN
cusj-5570	145	21	3	3	NUM
cusj-5570	145	22	)	)	PUNCT
cusj-5570	145	23	.	.	PUNCT
cusj-5570	146	1	the	the	DET
cusj-5570	146	2	first	first	ADJ
cusj-5570	146	3	cluster	cluster	NOUN
cusj-5570	146	4	consisted	consist	VERB
cusj-5570	146	5	of	of	ADP
cusj-5570	146	6	:	:	PUNCT
cusj-5570	146	7	6	6	NUM
cusj-5570	146	8	pv	pv	NOUN
cusj-5570	146	9	,	,	PUNCT
cusj-5570	146	10	8	8	NUM
cusj-5570	146	11	som	som	NOUN
cusj-5570	146	12	,	,	PUNCT
cusj-5570	146	13	and	and	CCONJ
cusj-5570	146	14	17	17	NUM
cusj-5570	146	15	cc	cc	NOUN
cusj-5570	146	16	.	.	PUNCT
cusj-5570	147	1	the	the	DET
cusj-5570	147	2	exemplar	exemplar	NOUN
cusj-5570	147	3	was	be	AUX
cusj-5570	147	4	member	member	NOUN
cusj-5570	147	5	4	4	NUM
cusj-5570	147	6	,	,	PUNCT
cusj-5570	147	7	a	a	DET
cusj-5570	147	8	member	member	NOUN
cusj-5570	147	9	of	of	ADP
cusj-5570	147	10	the	the	DET
cusj-5570	147	11	pv	pv	NOUN
cusj-5570	147	12	subtype	subtype	NOUN
cusj-5570	147	13	.	.	PUNCT
cusj-5570	148	1	it	it	PRON
cusj-5570	148	2	correctly	correctly	ADV
cusj-5570	148	3	classified	classify	VERB
cusj-5570	148	4	a	a	DET
cusj-5570	148	5	mere	mere	ADJ
cusj-5570	148	6	19.37	19.37	NUM
cusj-5570	148	7	%	%	NOUN
cusj-5570	148	8	of	of	ADP
cusj-5570	148	9	pv	pv	NOUN
cusj-5570	148	10	neurons	neuron	NOUN
cusj-5570	148	11	.	.	PUNCT
cusj-5570	149	1	the	the	DET
cusj-5570	149	2	second	second	ADJ
cusj-5570	149	3	cluster	cluster	NOUN
cusj-5570	149	4	consisted	consist	VERB
cusj-5570	149	5	of	of	ADP
cusj-5570	149	6	:	:	PUNCT
cusj-5570	149	7	6	6	NUM
cusj-5570	149	8	pv	pv	NOUN
cusj-5570	149	9	,	,	PUNCT
cusj-5570	149	10	8	8	NUM
cusj-5570	149	11	som	som	NOUN
cusj-5570	149	12	,	,	PUNCT
cusj-5570	149	13	and	and	CCONJ
cusj-5570	149	14	6	6	NUM
cusj-5570	149	15	cc	cc	NOUN
cusj-5570	149	16	.	.	PUNCT
cusj-5570	150	1	the	the	DET
cusj-5570	150	2	exemplar	exemplar	NOUN
cusj-5570	150	3	was	be	AUX
cusj-5570	150	4	member	member	NOUN
cusj-5570	150	5	38	38	NUM
cusj-5570	150	6	,	,	PUNCT
cusj-5570	150	7	a	a	DET
cusj-5570	150	8	member	member	NOUN
cusj-5570	150	9	of	of	ADP
cusj-5570	150	10	the	the	DET
cusj-5570	150	11	cc	cc	NOUN
cusj-5570	150	12	subtype	subtype	NOUN
cusj-5570	150	13	.	.	PUNCT
cusj-5570	151	1	only	only	ADV
cusj-5570	151	2	30	30	NUM
cusj-5570	151	3	%	%	NOUN
cusj-5570	151	4	of	of	ADP
cusj-5570	151	5	the	the	DET
cusj-5570	151	6	cc	cc	PROPN
cusj-5570	151	7	neurons	neuron	NOUN
cusj-5570	151	8	were	be	AUX
cusj-5570	151	9	correctly	correctly	ADV
cusj-5570	151	10	classified	classified	ADJ
cusj-5570	151	11	.	.	PUNCT
cusj-5570	152	1	neuroscience	neuroscience	PROPN
cusj-5570	152	2	columbia	columbia	PROPN
cusj-5570	152	3	undergraduate	undergraduate	PROPN
cusj-5570	152	4	science	science	PROPN
cusj-5570	152	5	journal	journal	PROPN
cusj-5570	152	6	open	open	ADJ
cusj-5570	152	7	-	-	PUNCT
cusj-5570	152	8	access	access	NOUN
cusj-5570	152	9	publication	publication	NOUN
cusj-5570	152	10	|	|	NOUN
cusj-5570	152	11	http://cusj.columbia.edu	http://cusj.columbia.edu	PROPN
cusj-5570	152	12	spring	spring	NOUN
cusj-5570	152	13	2014	2014	NUM
cusj-5570	153	1	|	|	ADV
cusj-5570	153	2	volume	volume	NOUN
cusj-5570	153	3	8	8	NUM
cusj-5570	153	4	27	27	NUM
cusj-5570	153	5	figure	figure	NOUN
cusj-5570	153	6	3	3	NUM
cusj-5570	153	7	:	:	PUNCT
cusj-5570	153	8	using	use	VERB
cusj-5570	153	9	67	67	NUM
cusj-5570	153	10	morphological	morphological	ADJ
cusj-5570	153	11	variables	variable	NOUN
cusj-5570	153	12	and	and	CCONJ
cusj-5570	153	13	20	20	NUM
cusj-5570	153	14	electrophysiological	electrophysiological	ADJ
cusj-5570	153	15	variables	variable	NOUN
cusj-5570	153	16	,	,	PUNCT
cusj-5570	153	17	50	50	NUM
cusj-5570	153	18	interneurons	interneuron	NOUN
cusj-5570	153	19	were	be	AUX
cusj-5570	153	20	classified	classify	VERB
cusj-5570	153	21	into	into	ADP
cusj-5570	153	22	2	2	NUM
cusj-5570	153	23	clusters	cluster	NOUN
cusj-5570	153	24	by	by	ADP
cusj-5570	153	25	affinity	affinity	NOUN
cusj-5570	153	26	propagation	propagation	NOUN
cusj-5570	153	27	where	where	SCONJ
cusj-5570	153	28	the	the	DET
cusj-5570	153	29	exemplars	exemplar	NOUN
cusj-5570	153	30	are	be	AUX
cusj-5570	153	31	4	4	NUM
cusj-5570	153	32	and	and	CCONJ
cusj-5570	153	33	48	48	NUM
cusj-5570	153	34	.	.	PUNCT
cusj-5570	154	1	discussion	discussion	NOUN
cusj-5570	154	2	affinity	affinity	NOUN
cusj-5570	154	3	propagation	propagation	NOUN
cusj-5570	154	4	:	:	PUNCT
cusj-5570	154	5	an	an	DET
cusj-5570	154	6	exploratory	exploratory	ADJ
cusj-5570	154	7	tool	tool	NOUN
cusj-5570	154	8	for	for	ADP
cusj-5570	154	9	classification	classification	NOUN
cusj-5570	154	10	of	of	ADP
cusj-5570	154	11	neural	neural	ADJ
cusj-5570	154	12	data	datum	NOUN
cusj-5570	154	13	in	in	ADP
cusj-5570	154	14	this	this	DET
cusj-5570	154	15	study	study	NOUN
cusj-5570	154	16	,	,	PUNCT
cusj-5570	154	17	we	we	PRON
cusj-5570	154	18	have	have	AUX
cusj-5570	154	19	explored	explore	VERB
cusj-5570	154	20	the	the	DET
cusj-5570	154	21	use	use	NOUN
cusj-5570	154	22	of	of	ADP
cusj-5570	154	23	a	a	DET
cusj-5570	154	24	new	new	ADJ
cusj-5570	154	25	algorithm	algorithm	NOUN
cusj-5570	154	26	,	,	PUNCT
cusj-5570	154	27	affinity	affinity	NOUN
cusj-5570	154	28	propagation	propagation	NOUN
cusj-5570	154	29	,	,	PUNCT
cusj-5570	154	30	for	for	ADP
cusj-5570	154	31	the	the	DET
cusj-5570	154	32	classification	classification	NOUN
cusj-5570	154	33	of	of	ADP
cusj-5570	154	34	neuronal	neuronal	ADJ
cusj-5570	154	35	data	datum	NOUN
cusj-5570	154	36	.	.	PUNCT
cusj-5570	155	1	we	we	PRON
cusj-5570	155	2	used	use	VERB
cusj-5570	155	3	a	a	DET
cusj-5570	155	4	database	database	NOUN
cusj-5570	155	5	of	of	ADP
cusj-5570	155	6	337	337	NUM
cusj-5570	155	7	neocortical	neocortical	ADJ
cusj-5570	155	8	gabaergic	gabaergic	ADJ
cusj-5570	155	9	interneurons	interneuron	NOUN
cusj-5570	155	10	.	.	PUNCT
cusj-5570	156	1	interneurons	interneuron	NOUN
cusj-5570	156	2	previously	previously	ADV
cusj-5570	156	3	identified	identify	VERB
cusj-5570	156	4	served	serve	VERB
cusj-5570	156	5	as	as	ADP
cusj-5570	156	6	a	a	DET
cusj-5570	156	7	ground	ground	NOUN
cusj-5570	156	8	truth	truth	NOUN
cusj-5570	156	9	,	,	PUNCT
cusj-5570	156	10	and	and	CCONJ
cusj-5570	156	11	acted	act	VERB
cusj-5570	156	12	as	as	ADP
cusj-5570	156	13	a	a	DET
cusj-5570	156	14	measure	measure	NOUN
cusj-5570	156	15	for	for	ADP
cusj-5570	156	16	how	how	SCONJ
cusj-5570	156	17	accurate	accurate	ADJ
cusj-5570	156	18	the	the	DET
cusj-5570	156	19	algorithm	algorithm	NOUN
cusj-5570	156	20	was	be	AUX
cusj-5570	156	21	.	.	PUNCT
cusj-5570	157	1	the	the	DET
cusj-5570	157	2	data	datum	NOUN
cusj-5570	157	3	was	be	AUX
cusj-5570	157	4	based	base	VERB
cusj-5570	157	5	on	on	ADP
cusj-5570	157	6	a	a	DET
cusj-5570	157	7	collection	collection	NOUN
cusj-5570	157	8	of	of	ADP
cusj-5570	157	9	morphological	morphological	ADJ
cusj-5570	157	10	and	and	CCONJ
cusj-5570	157	11	physiological	physiological	ADJ
cusj-5570	157	12	data	datum	NOUN
cusj-5570	157	13	for	for	ADP
cusj-5570	157	14	each	each	DET
cusj-5570	157	15	neuron	neuron	NOUN
cusj-5570	157	16	.	.	PUNCT
cusj-5570	158	1	the	the	DET
cusj-5570	158	2	classification	classification	NOUN
cusj-5570	158	3	accuracy	accuracy	NOUN
cusj-5570	158	4	we	we	PRON
cusj-5570	158	5	found	find	VERB
cusj-5570	158	6	was	be	AUX
cusj-5570	158	7	0.56	0.56	NUM
cusj-5570	158	8	for	for	ADP
cusj-5570	158	9	the	the	DET
cusj-5570	158	10	physiology	physiology	NOUN
cusj-5570	158	11	database	database	NOUN
cusj-5570	158	12	,	,	PUNCT
cusj-5570	158	13	0.45	0.45	NUM
cusj-5570	158	14	for	for	ADP
cusj-5570	158	15	the	the	DET
cusj-5570	158	16	morphology	morphology	NOUN
cusj-5570	158	17	database	database	NOUN
cusj-5570	158	18	,	,	PUNCT
cusj-5570	158	19	and	and	CCONJ
cusj-5570	158	20	0.40	0.40	NUM
cusj-5570	158	21	for	for	ADP
cusj-5570	158	22	the	the	DET
cusj-5570	158	23	combined	combine	VERB
cusj-5570	158	24	morphology	morphology	NOUN
cusj-5570	158	25	+	+	CCONJ
cusj-5570	158	26	physiology	physiology	NOUN
cusj-5570	158	27	database	database	NOUN
cusj-5570	158	28	.	.	PUNCT
cusj-5570	159	1	the	the	DET
cusj-5570	159	2	accuracy	accuracy	NOUN
cusj-5570	159	3	consistently	consistently	ADV
cusj-5570	159	4	decreased	decrease	VERB
cusj-5570	159	5	with	with	ADP
cusj-5570	159	6	a	a	DET
cusj-5570	159	7	smaller	small	ADJ
cusj-5570	159	8	data	datum	NOUN
cusj-5570	159	9	set	set	NOUN
cusj-5570	159	10	,	,	PUNCT
cusj-5570	159	11	containing	contain	VERB
cusj-5570	159	12	less	less	ADJ
cusj-5570	159	13	information	information	NOUN
cusj-5570	159	14	on	on	ADP
cusj-5570	159	15	neurons	neuron	NOUN
cusj-5570	159	16	.	.	PUNCT
cusj-5570	160	1	the	the	DET
cusj-5570	160	2	affinity	affinity	NOUN
cusj-5570	160	3	propagation	propagation	NOUN
cusj-5570	160	4	algorithm	algorithm	NOUN
cusj-5570	160	5	is	be	AUX
cusj-5570	160	6	able	able	ADJ
cusj-5570	160	7	to	to	PART
cusj-5570	160	8	consistently	consistently	ADV
cusj-5570	160	9	distinguish	distinguish	VERB
cusj-5570	160	10	somatostatin	somatostatin	NOUN
cusj-5570	160	11	neurons	neuron	NOUN
cusj-5570	160	12	as	as	ADP
cusj-5570	160	13	a	a	DET
cusj-5570	160	14	unique	unique	ADJ
cusj-5570	160	15	class	class	NOUN
cusj-5570	160	16	among	among	ADP
cusj-5570	160	17	all	all	DET
cusj-5570	160	18	three	three	NUM
cusj-5570	160	19	databases	database	NOUN
cusj-5570	160	20	.	.	PUNCT
cusj-5570	161	1	however	however	ADV
cusj-5570	161	2	,	,	PUNCT
cusj-5570	161	3	difficulty	difficulty	NOUN
cusj-5570	161	4	arose	arise	VERB
cusj-5570	161	5	s	s	VERB
cusj-5570	161	6	when	when	SCONJ
cusj-5570	161	7	the	the	DET
cusj-5570	161	8	algorithm	algorithm	NOUN
cusj-5570	161	9	is	be	AUX
cusj-5570	161	10	asked	ask	VERB
cusj-5570	161	11	to	to	PART
cusj-5570	161	12	differentiate	differentiate	VERB
cusj-5570	161	13	between	between	ADP
cusj-5570	161	14	chandelier	chandelier	NOUN
cusj-5570	161	15	cells	cell	NOUN
cusj-5570	161	16	and	and	CCONJ
cusj-5570	161	17	parvalbumin	parvalbumin	ADJ
cusj-5570	161	18	cells	cell	NOUN
cusj-5570	161	19	.	.	PUNCT
cusj-5570	162	1	in	in	ADP
cusj-5570	162	2	the	the	DET
cusj-5570	162	3	morphology	morphology	NOUN
cusj-5570	162	4	database	database	NOUN
cusj-5570	162	5	and	and	CCONJ
cusj-5570	162	6	the	the	DET
cusj-5570	162	7	combined	combine	VERB
cusj-5570	162	8	database	database	NOUN
cusj-5570	162	9	,	,	PUNCT
cusj-5570	162	10	the	the	DET
cusj-5570	162	11	cells	cell	NOUN
cusj-5570	162	12	were	be	AUX
cusj-5570	162	13	grouped	group	VERB
cusj-5570	162	14	into	into	ADP
cusj-5570	162	15	a	a	DET
cusj-5570	162	16	single	single	ADJ
cusj-5570	162	17	cluster	cluster	NOUN
cusj-5570	162	18	consisting	consist	VERB
cusj-5570	162	19	of	of	ADP
cusj-5570	162	20	large	large	ADJ
cusj-5570	162	21	components	component	NOUN
cusj-5570	162	22	of	of	ADP
cusj-5570	162	23	both	both	DET
cusj-5570	162	24	chandelier	chandelier	NOUN
cusj-5570	162	25	cells	cell	NOUN
cusj-5570	162	26	and	and	CCONJ
cusj-5570	162	27	parvalbumin	parvalbumin	ADJ
cusj-5570	162	28	cells	cell	NOUN
cusj-5570	162	29	as	as	SCONJ
cusj-5570	162	30	opposed	oppose	VERB
cusj-5570	162	31	to	to	ADP
cusj-5570	162	32	two	two	NUM
cusj-5570	162	33	distinct	distinct	ADJ
cusj-5570	162	34	clusters	cluster	NOUN
cusj-5570	162	35	.	.	PUNCT
cusj-5570	163	1	after	after	ADP
cusj-5570	163	2	simplifying	simplify	VERB
cusj-5570	163	3	the	the	DET
cusj-5570	163	4	database	database	NOUN
cusj-5570	163	5	to	to	PART
cusj-5570	163	6	include	include	VERB
cusj-5570	163	7	only	only	ADV
cusj-5570	163	8	chandelier	chandelier	NOUN
cusj-5570	163	9	cells	cell	NOUN
cusj-5570	163	10	and	and	CCONJ
cusj-5570	163	11	parvalbumin	parvalbumin	ADJ
cusj-5570	163	12	cells	cell	NOUN
cusj-5570	163	13	,	,	PUNCT
cusj-5570	163	14	while	while	SCONJ
cusj-5570	163	15	excluding	exclude	VERB
cusj-5570	163	16	somatostatin	somatostatin	NOUN
cusj-5570	163	17	-	-	PUNCT
cusj-5570	163	18	positive	positive	ADJ
cusj-5570	163	19	cells	cell	NOUN
cusj-5570	163	20	,	,	PUNCT
cusj-5570	163	21	the	the	DET
cusj-5570	163	22	affinity	affinity	NOUN
cusj-5570	163	23	propagation	propagation	NOUN
cusj-5570	163	24	algorithm	algorithm	NOUN
cusj-5570	163	25	is	be	AUX
cusj-5570	163	26	able	able	ADJ
cusj-5570	163	27	to	to	PART
cusj-5570	163	28	separate	separate	VERB
cusj-5570	163	29	the	the	DET
cusj-5570	163	30	cells	cell	NOUN
cusj-5570	163	31	into	into	ADP
cusj-5570	163	32	two	two	NUM
cusj-5570	163	33	clusters	cluster	NOUN
cusj-5570	163	34	but	but	CCONJ
cusj-5570	163	35	with	with	ADP
cusj-5570	163	36	low	low	ADJ
cusj-5570	163	37	accuracy	accuracy	NOUN
cusj-5570	163	38	(	(	PUNCT
cusj-5570	163	39	<	<	X
cusj-5570	163	40	0	0	NUM
cusj-5570	163	41	.	.	NOUN
cusj-5570	163	42	50	50	NUM
cusj-5570	163	43	for	for	ADP
cusj-5570	163	44	physiology	physiology	NOUN
cusj-5570	163	45	database	database	NOUN
cusj-5570	163	46	,	,	PUNCT
cusj-5570	163	47	the	the	DET
cusj-5570	163	48	largest	large	ADJ
cusj-5570	163	49	database	database	NOUN
cusj-5570	163	50	was	be	AUX
cusj-5570	163	51	used	use	VERB
cusj-5570	163	52	)	)	PUNCT
cusj-5570	163	53	.	.	PUNCT
cusj-5570	164	1	the	the	DET
cusj-5570	164	2	inability	inability	NOUN
cusj-5570	164	3	of	of	ADP
cusj-5570	164	4	the	the	DET
cusj-5570	164	5	affinity	affinity	NOUN
cusj-5570	164	6	propagation	propagation	NOUN
cusj-5570	164	7	algorithm	algorithm	NOUN
cusj-5570	164	8	to	to	ADP
cusj-5570	164	9	separate	separate	ADJ
cusj-5570	164	10	chandelier	chandelier	NOUN
cusj-5570	164	11	cells	cell	NOUN
cusj-5570	164	12	and	and	CCONJ
cusj-5570	164	13	parvalbumin	parvalbumin	ADJ
cusj-5570	164	14	cells	cell	NOUN
cusj-5570	164	15	may	may	AUX
cusj-5570	164	16	be	be	AUX
cusj-5570	164	17	due	due	ADJ
cusj-5570	164	18	to	to	ADP
cusj-5570	164	19	a	a	DET
cusj-5570	164	20	number	number	NOUN
cusj-5570	164	21	of	of	ADP
cusj-5570	164	22	potential	potential	ADJ
cusj-5570	164	23	reasons	reason	NOUN
cusj-5570	164	24	.	.	PUNCT
cusj-5570	165	1	one	one	NUM
cusj-5570	165	2	reason	reason	NOUN
cusj-5570	165	3	is	be	AUX
cusj-5570	165	4	that	that	SCONJ
cusj-5570	165	5	the	the	DET
cusj-5570	165	6	chandelier	chandelier	NOUN
cusj-5570	165	7	cells	cell	NOUN
cusj-5570	165	8	and	and	CCONJ
cusj-5570	165	9	parvalbumin	parvalbumin	ADJ
cusj-5570	165	10	cells	cell	NOUN
cusj-5570	165	11	are	be	AUX
cusj-5570	165	12	morphologically	morphologically	ADV
cusj-5570	165	13	and	and	CCONJ
cusj-5570	165	14	physiologically	physiologically	ADV
cusj-5570	165	15	similar	similar	ADJ
cusj-5570	165	16	to	to	ADP
cusj-5570	165	17	one	one	NUM
cusj-5570	165	18	another	another	DET
cusj-5570	165	19	.	.	PUNCT
cusj-5570	166	1	recent	recent	ADJ
cusj-5570	166	2	research	research	NOUN
cusj-5570	166	3	shows	show	VERB
cusj-5570	166	4	that	that	SCONJ
cusj-5570	166	5	chandelier	chandelier	PROPN
cusj-5570	166	6	neurons	neuron	NOUN
cusj-5570	166	7	are	be	AUX
cusj-5570	166	8	a	a	DET
cusj-5570	166	9	subset	subset	NOUN
cusj-5570	166	10	of	of	ADP
cusj-5570	166	11	gaba	gaba	NOUN
cusj-5570	166	12	-	-	PUNCT
cusj-5570	166	13	ergic	ergic	NOUN
cusj-5570	166	14	cortical	cortical	ADJ
cusj-5570	166	15	interneurons	interneuron	NOUN
cusj-5570	166	16	that	that	PRON
cusj-5570	166	17	are	be	AUX
cusj-5570	166	18	said	say	VERB
cusj-5570	166	19	to	to	PART
cusj-5570	166	20	be	be	AUX
cusj-5570	166	21	parvalbumincontaining	parvalbumincontaine	VERB
cusj-5570	166	22	and	and	CCONJ
cusj-5570	166	23	fast	fast	ADV
cusj-5570	166	24	-	-	PUNCT
cusj-5570	166	25	spiking	spike	VERB
cusj-5570	166	26	when	when	SCONJ
cusj-5570	166	27	innunostained16	innunostained16	NOUN
cusj-5570	166	28	,	,	PUNCT
cusj-5570	166	29	thus	thus	ADV
cusj-5570	166	30	distinguishing	distinguish	VERB
cusj-5570	166	31	them	they	PRON
cusj-5570	166	32	from	from	ADP
cusj-5570	166	33	other	other	ADJ
cusj-5570	166	34	gabaergic	gabaergic	ADJ
cusj-5570	166	35	neurons	neuron	NOUN
cusj-5570	166	36	,	,	PUNCT
cusj-5570	166	37	.	.	PUNCT
cusj-5570	167	1	even	even	ADV
cusj-5570	167	2	though	though	SCONJ
cusj-5570	167	3	chandelier	chandelier	PROPN
cusj-5570	167	4	cells	cell	NOUN
cusj-5570	167	5	are	be	AUX
cusj-5570	167	6	truly	truly	ADV
cusj-5570	167	7	distinct	distinct	ADJ
cusj-5570	167	8	from	from	ADP
cusj-5570	167	9	other	other	ADJ
cusj-5570	167	10	gabaergic	gabaergic	ADJ
cusj-5570	167	11	neurons	neuron	NOUN
cusj-5570	167	12	based	base	VERB
cusj-5570	167	13	on	on	ADP
cusj-5570	167	14	morphology	morphology	NOUN
cusj-5570	167	15	with	with	ADP
cusj-5570	167	16	their	their	PRON
cusj-5570	167	17	unique	unique	ADJ
cusj-5570	167	18	axonal	axonal	ADJ
cusj-5570	167	19	arbors	arbor	NOUN
cusj-5570	167	20	,	,	PUNCT
cusj-5570	167	21	the	the	DET
cusj-5570	167	22	affinity	affinity	NOUN
cusj-5570	167	23	propagation	propagation	NOUN
cusj-5570	167	24	algorithm	algorithm	NOUN
cusj-5570	167	25	correctly	correctly	ADV
cusj-5570	167	26	picks	pick	VERB
cusj-5570	167	27	up	up	ADP
cusj-5570	167	28	this	this	DET
cusj-5570	167	29	assumption	assumption	NOUN
cusj-5570	167	30	.	.	PUNCT
cusj-5570	168	1	our	our	PRON
cusj-5570	168	2	observations	observation	NOUN
cusj-5570	168	3	may	may	AUX
cusj-5570	168	4	also	also	ADV
cusj-5570	168	5	be	be	AUX
cusj-5570	168	6	explained	explain	VERB
cusj-5570	168	7	by	by	ADP
cusj-5570	168	8	potential	potential	ADJ
cusj-5570	168	9	sources	source	NOUN
cusj-5570	168	10	of	of	ADP
cusj-5570	168	11	error	error	NOUN
cusj-5570	168	12	.	.	PUNCT
cusj-5570	169	1	with	with	ADP
cusj-5570	169	2	a	a	DET
cusj-5570	169	3	smaller	small	ADJ
cusj-5570	169	4	dataset	dataset	NOUN
cusj-5570	169	5	,	,	PUNCT
cusj-5570	169	6	the	the	DET
cusj-5570	169	7	affinity	affinity	NOUN
cusj-5570	169	8	propagation	propagation	NOUN
cusj-5570	169	9	algorithm	algorithm	NOUN
cusj-5570	169	10	greatly	greatly	ADV
cusj-5570	169	11	decreased	decrease	VERB
cusj-5570	169	12	in	in	ADP
cusj-5570	169	13	accuracy	accuracy	NOUN
cusj-5570	169	14	.	.	PUNCT
cusj-5570	170	1	an	an	DET
cusj-5570	170	2	additional	additional	ADJ
cusj-5570	170	3	error	error	NOUN
cusj-5570	170	4	found	find	VERB
cusj-5570	170	5	in	in	ADP
cusj-5570	170	6	the	the	DET
cusj-5570	170	7	dataset	dataset	NOUN
cusj-5570	170	8	was	be	AUX
cusj-5570	170	9	that	that	SCONJ
cusj-5570	170	10	some	some	PRON
cusj-5570	170	11	of	of	ADP
cusj-5570	170	12	the	the	DET
cusj-5570	170	13	measurements	measurement	NOUN
cusj-5570	170	14	of	of	ADP
cusj-5570	170	15	input	input	NOUN
cusj-5570	170	16	resistance	resistance	NOUN
cusj-5570	170	17	were	be	AUX
cusj-5570	170	18	incorrectly	incorrectly	ADV
cusj-5570	170	19	normalized	normalize	VERB
cusj-5570	170	20	.	.	PUNCT
cusj-5570	171	1	the	the	DET
cusj-5570	171	2	values	value	NOUN
cusj-5570	171	3	less	less	ADJ
cusj-5570	171	4	than	than	ADP
cusj-5570	171	5	1	1	NUM
cusj-5570	171	6	for	for	ADP
cusj-5570	171	7	resistance	resistance	NOUN
cusj-5570	171	8	are	be	AUX
cusj-5570	171	9	reported	report	VERB
cusj-5570	171	10	in	in	ADP
cusj-5570	171	11	giga	giga	PROPN
cusj-5570	171	12	ohms	ohm	NOUN
cusj-5570	171	13	while	while	SCONJ
cusj-5570	171	14	the	the	DET
cusj-5570	171	15	values	value	NOUN
cusj-5570	171	16	greater	great	ADJ
cusj-5570	171	17	than	than	ADP
cusj-5570	171	18	20	20	NUM
cusj-5570	171	19	are	be	AUX
cusj-5570	171	20	reported	report	VERB
cusj-5570	171	21	in	in	ADP
cusj-5570	171	22	mega	mega	ADJ
cusj-5570	171	23	ohms	ohm	NOUN
cusj-5570	171	24	.	.	PUNCT
cusj-5570	172	1	despite	despite	SCONJ
cusj-5570	172	2	the	the	DET
cusj-5570	172	3	moderate	moderate	ADJ
cusj-5570	172	4	success	success	NOUN
cusj-5570	172	5	of	of	ADP
cusj-5570	172	6	affinity	affinity	NOUN
cusj-5570	172	7	propagation	propagation	NOUN
cusj-5570	172	8	algorithm	algorithm	NOUN
cusj-5570	172	9	,	,	PUNCT
cusj-5570	172	10	we	we	PRON
cusj-5570	172	11	have	have	VERB
cusj-5570	172	12	insufficient	insufficient	ADJ
cusj-5570	172	13	evidence	evidence	NOUN
cusj-5570	172	14	to	to	PART
cusj-5570	172	15	reject	reject	VERB
cusj-5570	172	16	it	it	PRON
cusj-5570	172	17	as	as	ADP
cusj-5570	172	18	an	an	DET
cusj-5570	172	19	exploratory	exploratory	ADJ
cusj-5570	172	20	tool	tool	NOUN
cusj-5570	172	21	for	for	ADP
cusj-5570	172	22	neuronal	neuronal	ADJ
cusj-5570	172	23	classification	classification	NOUN
cusj-5570	172	24	.	.	PUNCT
cusj-5570	173	1	with	with	ADP
cusj-5570	173	2	a	a	DET
cusj-5570	173	3	large	large	ADJ
cusj-5570	173	4	enough	enough	ADJ
cusj-5570	173	5	dataset	dataset	NOUN
cusj-5570	173	6	encompassing	encompass	VERB
cusj-5570	173	7	a	a	DET
cusj-5570	173	8	much	much	ADV
cusj-5570	173	9	greater	great	ADJ
cusj-5570	173	10	number	number	NOUN
cusj-5570	173	11	of	of	ADP
cusj-5570	173	12	interneuron	interneuron	NOUN
cusj-5570	173	13	subtypes	subtype	NOUN
cusj-5570	173	14	,	,	PUNCT
cusj-5570	173	15	we	we	PRON
cusj-5570	173	16	may	may	AUX
cusj-5570	173	17	be	be	AUX
cusj-5570	173	18	able	able	ADJ
cusj-5570	173	19	to	to	PART
cusj-5570	173	20	improved	improved	VERB
cusj-5570	173	21	classification	classification	NOUN
cusj-5570	173	22	by	by	ADP
cusj-5570	173	23	affinity	affinity	NOUN
cusj-5570	173	24	propagation	propagation	NOUN
cusj-5570	173	25	.	.	PUNCT
cusj-5570	174	1	such	such	DET
cusj-5570	174	2	a	a	DET
cusj-5570	174	3	dataset	dataset	NOUN
cusj-5570	174	4	is	be	AUX
cusj-5570	174	5	in	in	ADP
cusj-5570	174	6	progress	progress	NOUN
cusj-5570	174	7	as	as	SCONJ
cusj-5570	174	8	we	we	PRON
cusj-5570	174	9	are	be	AUX
cusj-5570	174	10	manipulating	manipulate	VERB
cusj-5570	174	11	the	the	DET
cusj-5570	174	12	windows	window	NOUN
cusj-5570	174	13	application	application	NOUN
cusj-5570	174	14	programming	programming	NOUN
cusj-5570	174	15	interface	interface	NOUN
cusj-5570	174	16	(	(	PUNCT
cusj-5570	174	17	api	api	NOUN
cusj-5570	174	18	)	)	PUNCT
cusj-5570	174	19	in	in	ADP
cusj-5570	174	20	an	an	DET
cusj-5570	174	21	effort	effort	NOUN
cusj-5570	174	22	to	to	PART
cusj-5570	174	23	automate	automate	VERB
cusj-5570	174	24	the	the	DET
cusj-5570	174	25	extraction	extraction	NOUN
cusj-5570	174	26	of	of	ADP
cusj-5570	174	27	morphological	morphological	ADJ
cusj-5570	174	28	data	datum	NOUN
cusj-5570	174	29	from	from	ADP
cusj-5570	174	30	neuroexplorer	neuroexplorer	PROPN
cusj-5570	174	31	.	.	PUNCT
cusj-5570	175	1	we	we	PRON
cusj-5570	175	2	have	have	AUX
cusj-5570	175	3	automated	automate	VERB
cusj-5570	175	4	the	the	DET
cusj-5570	175	5	clicks	click	NOUN
cusj-5570	175	6	necessary	necessary	ADJ
cusj-5570	175	7	to	to	PART
cusj-5570	175	8	obtain	obtain	VERB
cusj-5570	175	9	the	the	DET
cusj-5570	175	10	data	datum	NOUN
cusj-5570	175	11	of	of	ADP
cusj-5570	175	12	67	67	NUM
cusj-5570	175	13	morphological	morphological	ADJ
cusj-5570	175	14	variables	variable	NOUN
cusj-5570	175	15	from	from	ADP
cusj-5570	175	16	a	a	DET
cusj-5570	175	17	single	single	ADJ
cusj-5570	175	18	neuron	neuron	NOUN
cusj-5570	175	19	but	but	CCONJ
cusj-5570	175	20	we	we	PRON
cusj-5570	175	21	would	would	AUX
cusj-5570	175	22	like	like	VERB
cusj-5570	175	23	to	to	PART
cusj-5570	175	24	implement	implement	VERB
cusj-5570	175	25	this	this	PRON
cusj-5570	175	26	for	for	ADP
cusj-5570	175	27	the	the	DET
cusj-5570	175	28	entire	entire	ADJ
cusj-5570	175	29	extraction	extraction	NOUN
cusj-5570	175	30	process	process	NOUN
cusj-5570	175	31	.	.	PUNCT
cusj-5570	176	1	our	our	PRON
cusj-5570	176	2	goal	goal	NOUN
cusj-5570	176	3	is	be	AUX
cusj-5570	176	4	to	to	PART
cusj-5570	176	5	create	create	VERB
cusj-5570	176	6	a	a	DET
cusj-5570	176	7	dataset	dataset	NOUN
cusj-5570	176	8	encompassing	encompass	VERB
cusj-5570	176	9	an	an	DET
cusj-5570	176	10	estimated	estimate	VERB
cusj-5570	176	11	1000	1000	NUM
cusj-5570	176	12	neurons	neuron	NOUN
cusj-5570	176	13	of	of	ADP
cusj-5570	176	14	diverse	diverse	ADJ
cusj-5570	176	15	interneuron	interneuron	NOUN
cusj-5570	176	16	subtypes	subtype	NOUN
cusj-5570	176	17	,	,	PUNCT
cusj-5570	176	18	each	each	PRON
cusj-5570	176	19	characterized	characterize	VERB
cusj-5570	176	20	by	by	ADP
cusj-5570	176	21	an	an	DET
cusj-5570	176	22	anatomical	anatomical	ADJ
cusj-5570	176	23	3d	3d	NOUN
cusj-5570	176	24	reconstruction	reconstruction	NOUN
cusj-5570	176	25	and	and	CCONJ
cusj-5570	176	26	whole	whole	ADJ
cusj-5570	176	27	-	-	PUNCT
cusj-5570	176	28	cell	cell	NOUN
cusj-5570	176	29	patch	patch	ADJ
cusj-5570	176	30	-	-	PUNCT
cusj-5570	176	31	clamp	clamp	NOUN
cusj-5570	176	32	recording	recording	NOUN
cusj-5570	176	33	.	.	PUNCT
cusj-5570	177	1	one	one	NUM
cusj-5570	177	2	great	great	ADJ
cusj-5570	177	3	issue	issue	NOUN
cusj-5570	177	4	with	with	ADP
cusj-5570	177	5	classification	classification	NOUN
cusj-5570	177	6	schemes	scheme	NOUN
cusj-5570	177	7	of	of	ADP
cusj-5570	177	8	neocortical	neocortical	ADJ
cusj-5570	177	9	neurons	neuron	NOUN
cusj-5570	177	10	is	be	AUX
cusj-5570	177	11	that	that	SCONJ
cusj-5570	177	12	many	many	ADJ
cusj-5570	177	13	markers	marker	NOUN
cusj-5570	177	14	,	,	PUNCT
cusj-5570	177	15	often	often	ADV
cusj-5570	177	16	transcription	transcription	NOUN
cusj-5570	177	17	factors	factor	NOUN
cusj-5570	177	18	,	,	PUNCT
cusj-5570	177	19	exist	exist	VERB
cusj-5570	177	20	to	to	PART
cusj-5570	177	21	label	label	VERB
cusj-5570	177	22	neuroscience	neuroscience	PROPN
cusj-5570	177	23	columbia	columbia	PROPN
cusj-5570	177	24	undergraduate	undergraduate	PROPN
cusj-5570	177	25	science	science	PROPN
cusj-5570	177	26	journal	journal	PROPN
cusj-5570	177	27	open	open	ADJ
cusj-5570	177	28	-	-	PUNCT
cusj-5570	177	29	access	access	NOUN
cusj-5570	177	30	publication	publication	NOUN
cusj-5570	177	31	|	|	NOUN
cusj-5570	177	32	http://cusj.columbia.edu	http://cusj.columbia.edu	PROPN
cusj-5570	177	33	spring	spring	NOUN
cusj-5570	177	34	2014	2014	NUM
cusj-5570	178	1	|	|	ADV
cusj-5570	178	2	volume	volume	NOUN
cusj-5570	178	3	8	8	NUM
cusj-5570	178	4	28	28	NUM
cusj-5570	178	5	interneuron	interneuron	NOUN
cusj-5570	178	6	subtypes	subtype	NOUN
cusj-5570	178	7	while	while	SCONJ
cusj-5570	178	8	there	there	PRON
cusj-5570	178	9	are	be	VERB
cusj-5570	178	10	few	few	ADJ
cusj-5570	178	11	known	know	VERB
cusj-5570	178	12	markers	marker	NOUN
cusj-5570	178	13	to	to	PART
cusj-5570	178	14	label	label	VERB
cusj-5570	178	15	pyramidal	pyramidal	ADJ
cusj-5570	178	16	neurons	neuron	NOUN
cusj-5570	178	17	.	.	PUNCT
cusj-5570	179	1	moreover	moreover	ADV
cusj-5570	179	2	,	,	PUNCT
cusj-5570	179	3	pyramidal	pyramidal	ADJ
cusj-5570	179	4	neurons	neuron	NOUN
cusj-5570	179	5	account	account	VERB
cusj-5570	179	6	for	for	ADP
cusj-5570	179	7	a	a	DET
cusj-5570	179	8	much	much	ADV
cusj-5570	179	9	larger	large	ADJ
cusj-5570	179	10	percentage	percentage	NOUN
cusj-5570	179	11	of	of	ADP
cusj-5570	179	12	the	the	DET
cusj-5570	179	13	neocortex	neocortex	NOUN
cusj-5570	179	14	compared	compare	VERB
cusj-5570	179	15	to	to	ADP
cusj-5570	179	16	interneurons	interneuron	NOUN
cusj-5570	179	17	(	(	PUNCT
cusj-5570	179	18	~	~	PUNCT
cusj-5570	179	19	4x	4x	NOUN
cusj-5570	179	20	as	as	ADV
cusj-5570	179	21	much	much	ADJ
cusj-5570	179	22	)	)	PUNCT
cusj-5570	179	23	.	.	PUNCT
cusj-5570	180	1	in	in	ADP
cusj-5570	180	2	the	the	DET
cusj-5570	180	3	future	future	NOUN
cusj-5570	180	4	,	,	PUNCT
cusj-5570	180	5	we	we	PRON
cusj-5570	180	6	would	would	AUX
cusj-5570	180	7	like	like	VERB
cusj-5570	180	8	to	to	PART
cusj-5570	180	9	create	create	VERB
cusj-5570	180	10	an	an	DET
cusj-5570	180	11	algorithm	algorithm	NOUN
cusj-5570	180	12	that	that	PRON
cusj-5570	180	13	separates	separate	VERB
cusj-5570	180	14	pyramidal	pyramidal	ADJ
cusj-5570	180	15	neurons	neuron	NOUN
cusj-5570	180	16	from	from	ADP
cusj-5570	180	17	interneurons	interneuron	NOUN
cusj-5570	180	18	and	and	CCONJ
cusj-5570	180	19	will	will	AUX
cusj-5570	180	20	continue	continue	VERB
cusj-5570	180	21	to	to	PART
cusj-5570	180	22	research	research	VERB
cusj-5570	180	23	ways	way	NOUN
cusj-5570	180	24	to	to	PART
cusj-5570	180	25	classify	classify	VERB
cusj-5570	180	26	pyramidal	pyramidal	ADJ
cusj-5570	180	27	neurons	neuron	NOUN
cusj-5570	180	28	.	.	PUNCT
cusj-5570	181	1	affinity	affinity	NOUN
cusj-5570	181	2	propagation	propagation	NOUN
cusj-5570	181	3	and	and	CCONJ
cusj-5570	181	4	additional	additional	ADJ
cusj-5570	181	5	machine	machine	NOUN
cusj-5570	181	6	learning	learn	VERB
cusj-5570	181	7	techniques	technique	NOUN
cusj-5570	181	8	have	have	VERB
cusj-5570	181	9	the	the	DET
cusj-5570	181	10	potential	potential	NOUN
cusj-5570	181	11	to	to	PART
cusj-5570	181	12	serve	serve	VERB
cusj-5570	181	13	as	as	ADP
cusj-5570	181	14	powerful	powerful	ADJ
cusj-5570	181	15	exploratory	exploratory	ADJ
cusj-5570	181	16	tools	tool	NOUN
cusj-5570	181	17	to	to	PART
cusj-5570	181	18	build	build	VERB
cusj-5570	181	19	such	such	ADJ
cusj-5570	181	20	classification	classification	NOUN
cusj-5570	181	21	schemes	scheme	NOUN
cusj-5570	181	22	.	.	PUNCT
cusj-5570	182	1	references	reference	NOUN
cusj-5570	182	2	1	1	NUM
cusj-5570	182	3	.	.	PUNCT
cusj-5570	182	4	ascoli	ascoli	PROPN
cusj-5570	182	5	,	,	PUNCT
cusj-5570	182	6	g.a	g.a	PROPN
cusj-5570	182	7	.	.	PROPN
cusj-5570	182	8	;	;	PUNCT
cusj-5570	182	9	alonso	alonso	NOUN
cusj-5570	182	10	-	-	PUNCT
cusj-5570	182	11	nanclares	nanclare	NOUN
cusj-5570	182	12	,	,	PUNCT
cusj-5570	182	13	l.	l.	PROPN
cusj-5570	182	14	;	;	PUNCT
cusj-5570	182	15	anderson	anderson	PROPN
cusj-5570	182	16	,	,	PUNCT
cusj-5570	182	17	s.a	s.a	PROPN
cusj-5570	182	18	.	.	PROPN
cusj-5570	182	19	;	;	PUNCT
cusj-5570	182	20	barrionuevo	barrionuevo	VERB
cusj-5570	182	21	,	,	PUNCT
cusj-5570	182	22	g.	g.	PROPN
cusj-5570	182	23	;	;	PUNCT
cusj-5570	182	24	benavides	benavides	PROPN
cusj-5570	182	25	-	-	PUNCT
cusj-5570	182	26	piccione	piccione	NOUN
cusj-5570	182	27	,	,	PUNCT
cusj-5570	182	28	r.	r.	PROPN
cusj-5570	182	29	;	;	PUNCT
cusj-5570	182	30	burkhalter	burkhalter	NOUN
cusj-5570	182	31	,	,	PUNCT
cusj-5570	182	32	a.	a.	NOUN
cusj-5570	182	33	;	;	PUNCT
cusj-5570	182	34	et	et	PROPN
cusj-5570	182	35	al	al	PROPN
cusj-5570	182	36	.	.	PUNCT
cusj-5570	182	37	(	(	PUNCT
cusj-5570	182	38	2008	2008	NUM
cusj-5570	182	39	)	)	PUNCT
cusj-5570	182	40	.	.	PUNCT
cusj-5570	183	1	petilla	petilla	NOUN
cusj-5570	183	2	terminology	terminology	NOUN
cusj-5570	183	3	:	:	PUNCT
cusj-5570	183	4	nomenclature	nomenclature	NOUN
cusj-5570	183	5	of	of	ADP
cusj-5570	183	6	features	feature	NOUN
cusj-5570	183	7	of	of	ADP
cusj-5570	183	8	gabaergic	gabaergic	ADJ
cusj-5570	183	9	interneurons	interneuron	NOUN
cusj-5570	183	10	of	of	ADP
cusj-5570	183	11	the	the	DET
cusj-5570	183	12	cerebral	cerebral	ADJ
cusj-5570	183	13	cortex	cortex	NOUN
cusj-5570	183	14	.	.	PUNCT
cusj-5570	184	1	nat	nat	PROPN
cusj-5570	184	2	.	.	PUNCT
cusj-5570	185	1	rev	rev	PROPN
cusj-5570	185	2	.	.	PROPN
cusj-5570	185	3	neurosci	neurosci	PROPN
cusj-5570	185	4	.	.	PUNCT
cusj-5570	186	1	9	9	NUM
cusj-5570	186	2	,	,	PUNCT
cusj-5570	186	3	557–568	557–568	NUM
cusj-5570	186	4	.	.	NOUN
cusj-5570	186	5	2	2	NUM
cusj-5570	186	6	.	.	X
cusj-5570	186	7	cauli	cauli	PROPN
cusj-5570	186	8	,	,	PUNCT
cusj-5570	186	9	b.	b.	PROPN
cusj-5570	186	10	;	;	PUNCT
cusj-5570	186	11	audinat	audinat	PROPN
cusj-5570	186	12	,	,	PUNCT
cusj-5570	186	13	e.	e.	PROPN
cusj-5570	186	14	;	;	PUNCT
cusj-5570	186	15	lambolez	lambolez	PROPN
cusj-5570	186	16	,	,	PUNCT
cusj-5570	186	17	b.	b.	PROPN
cusj-5570	186	18	;	;	PUNCT
cusj-5570	186	19	angulo	angulo	PROPN
cusj-5570	186	20	,	,	PUNCT
cusj-5570	186	21	m.c	m.c	PROPN
cusj-5570	186	22	.	.	PROPN
cusj-5570	186	23	;	;	PUNCT
cusj-5570	186	24	ropert	ropert	NOUN
cusj-5570	186	25	,	,	PUNCT
cusj-5570	186	26	n.	n.	NOUN
cusj-5570	186	27	;	;	PUNCT
cusj-5570	186	28	tsuzuki	tsuzuki	PROPN
cusj-5570	186	29	,	,	PUNCT
cusj-5570	186	30	k.	k.	PROPN
cusj-5570	186	31	;	;	PUNCT
cusj-5570	186	32	et	et	PROPN
cusj-5570	186	33	al	al	PROPN
cusj-5570	186	34	.	.	PROPN
cusj-5570	186	35	(	(	PUNCT
cusj-5570	186	36	1997	1997	NUM
cusj-5570	186	37	)	)	PUNCT
cusj-5570	186	38	.	.	PUNCT
cusj-5570	187	1	molecular	molecular	ADJ
cusj-5570	187	2	and	and	CCONJ
cusj-5570	187	3	physiological	physiological	ADJ
cusj-5570	187	4	diversity	diversity	NOUN
cusj-5570	187	5	of	of	ADP
cusj-5570	187	6	cortical	cortical	ADJ
cusj-5570	187	7	nonpyramidal	nonpyramidal	ADJ
cusj-5570	187	8	cells	cell	NOUN
cusj-5570	187	9	.	.	PUNCT
cusj-5570	188	1	j.	j.	PROPN
cusj-5570	188	2	neurosci	neurosci	PROPN
cusj-5570	188	3	.	.	PUNCT
cusj-5570	189	1	17	17	NUM
cusj-5570	189	2	,	,	PUNCT
cusj-5570	189	3	3894–3906	3894–3906	NUM
cusj-5570	189	4	.	.	NOUN
cusj-5570	190	1	3	3	X
cusj-5570	190	2	.	.	X
cusj-5570	190	3	chattopadhyaya	chattopadhyaya	PROPN
cusj-5570	190	4	,	,	PUNCT
cusj-5570	190	5	b.	b.	PROPN
cusj-5570	190	6	,	,	PUNCT
cusj-5570	190	7	di	di	NOUN
cusj-5570	190	8	cristo	cristo	PROPN
cusj-5570	190	9	,	,	PUNCT
cusj-5570	190	10	g.	g.	PROPN
cusj-5570	190	11	,	,	PUNCT
cusj-5570	190	12	wu	wu	PROPN
cusj-5570	190	13	,	,	PUNCT
cusj-5570	190	14	c.z	c.z	PROPN
cusj-5570	190	15	.	.	PROPN
cusj-5570	190	16	;	;	PUNCT
cusj-5570	191	1	knott	knott	PROPN
cusj-5570	191	2	,	,	PUNCT
cusj-5570	191	3	g.	g.	PROPN
cusj-5570	191	4	;	;	PUNCT
cusj-5570	191	5	kuhlman	kuhlman	PROPN
cusj-5570	191	6	,	,	PUNCT
cusj-5570	191	7	s.	s.	PROPN
cusj-5570	191	8	;	;	PUNCT
cusj-5570	191	9	fu	fu	PROPN
cusj-5570	191	10	,	,	PUNCT
cusj-5570	191	11	y.	y.	PROPN
cusj-5570	191	12	;	;	PUNCT
cusj-5570	191	13	et	et	PROPN
cusj-5570	191	14	al	al	PROPN
cusj-5570	191	15	.	.	PUNCT
cusj-5570	191	16	(	(	PUNCT
cusj-5570	191	17	2007	2007	NUM
cusj-5570	191	18	)	)	PUNCT
cusj-5570	191	19	.	.	PUNCT
cusj-5570	192	1	gad67	gad67	NOUN
cusj-5570	192	2	-	-	PUNCT
cusj-5570	192	3	mediated	mediate	VERB
cusj-5570	192	4	gaba	gaba	NOUN
cusj-5570	192	5	synthesis	synthesis	NOUN
cusj-5570	192	6	and	and	CCONJ
cusj-5570	192	7	signaling	signal	VERB
cusj-5570	192	8	regulate	regulate	VERB
cusj-5570	192	9	inhibitory	inhibitory	ADJ
cusj-5570	192	10	synaptic	synaptic	ADJ
cusj-5570	192	11	innervation	innervation	NOUN
cusj-5570	192	12	in	in	ADP
cusj-5570	192	13	the	the	DET
cusj-5570	192	14	visual	visual	ADJ
cusj-5570	192	15	cortex	cortex	NOUN
cusj-5570	192	16	.	.	PUNCT
cusj-5570	192	17	neuron	neuron	PROPN
cusj-5570	192	18	54	54	NUM
cusj-5570	192	19	,	,	PUNCT
cusj-5570	192	20	889–903	889–903	NUM
cusj-5570	192	21	.	.	PUNCT
cusj-5570	193	1	4	4	X
cusj-5570	193	2	.	.	X
cusj-5570	193	3	defelipe	defelipe	PROPN
cusj-5570	193	4	,	,	PUNCT
cusj-5570	193	5	j.	j.	PROPN
cusj-5570	193	6	;	;	PUNCT
cusj-5570	193	7	lópez	lópez	NOUN
cusj-5570	193	8	-	-	PUNCT
cusj-5570	193	9	cruz	cruz	PROPN
cusj-5570	193	10	,	,	PUNCT
cusj-5570	193	11	p.	p.	NOUN
cusj-5570	193	12	;	;	PUNCT
cusj-5570	193	13	benavidespiccione	benavidespiccione	NOUN
cusj-5570	193	14	,	,	PUNCT
cusj-5570	193	15	r.	r.	PROPN
cusj-5570	193	16	;	;	PUNCT
cusj-5570	193	17	bielza	bielza	VERB
cusj-5570	193	18	,	,	PUNCT
cusj-5570	193	19	c.	c.	NOUN
cusj-5570	193	20	;	;	PUNCT
cusj-5570	193	21	larrañaga	larrañaga	NOUN
cusj-5570	193	22	,	,	PUNCT
cusj-5570	193	23	p.	p.	PROPN
cusj-5570	193	24	;	;	PUNCT
cusj-5570	193	25	anderson	anderson	PROPN
cusj-5570	193	26	,	,	PUNCT
cusj-5570	193	27	s.	s.	PROPN
cusj-5570	193	28	;	;	PUNCT
cusj-5570	193	29	et	et	PROPN
cusj-5570	193	30	al	al	PROPN
cusj-5570	193	31	.	.	PROPN
cusj-5570	193	32	(	(	PUNCT
cusj-5570	193	33	2013	2013	NUM
cusj-5570	193	34	)	)	PUNCT
cusj-5570	193	35	.	.	PUNCT
cusj-5570	194	1	new	new	ADJ
cusj-5570	194	2	insights	insight	NOUN
cusj-5570	194	3	in	in	ADP
cusj-5570	194	4	the	the	DET
cusj-5570	194	5	classification	classification	NOUN
cusj-5570	194	6	and	and	CCONJ
cusj-5570	194	7	nomenclature	nomenclature	NOUN
cusj-5570	194	8	of	of	ADP
cusj-5570	194	9	cortical	cortical	ADJ
cusj-5570	194	10	gabaergic	gabaergic	ADJ
cusj-5570	194	11	interneurons	interneuron	NOUN
cusj-5570	194	12	.	.	PUNCT
cusj-5570	195	1	nat	nat	PROPN
cusj-5570	195	2	.	.	PUNCT
cusj-5570	196	1	rev	rev	PROPN
cusj-5570	196	2	.	.	PROPN
cusj-5570	196	3	neurosci	neurosci	PROPN
cusj-5570	196	4	.	.	PUNCT
cusj-5570	197	1	14	14	NUM
cusj-5570	197	2	,	,	PUNCT
cusj-5570	197	3	202–216	202–216	NUM
cusj-5570	197	4	.	.	PUNCT
cusj-5570	198	1	5	5	NUM
cusj-5570	198	2	.	.	X
cusj-5570	198	3	douglas	douglas	PROPN
cusj-5570	198	4	,	,	PUNCT
cusj-5570	198	5	r.j	r.j	PROPN
cusj-5570	198	6	.	.	PROPN
cusj-5570	198	7	and	and	CCONJ
cusj-5570	198	8	martin	martin	PROPN
cusj-5570	198	9	,	,	PUNCT
cusj-5570	198	10	k.c	k.c	PROPN
cusj-5570	198	11	.	.	PROPN
cusj-5570	198	12	(	(	PUNCT
cusj-5570	198	13	2004	2004	NUM
cusj-5570	198	14	)	)	PUNCT
cusj-5570	198	15	.	.	PUNCT
cusj-5570	199	1	neuronal	neuronal	ADJ
cusj-5570	199	2	circuits	circuit	NOUN
cusj-5570	199	3	of	of	ADP
cusj-5570	199	4	the	the	DET
cusj-5570	199	5	neocortex	neocortex	NOUN
cusj-5570	199	6	.	.	PUNCT
cusj-5570	200	1	annual	annual	ADJ
cusj-5570	200	2	reviews	review	NOUN
cusj-5570	200	3	of	of	ADP
cusj-5570	200	4	neuroscience	neuroscience	NOUN
cusj-5570	200	5	27	27	NUM
cusj-5570	200	6	,	,	PUNCT
cusj-5570	200	7	419	419	NUM
cusj-5570	200	8	-	-	SYM
cusj-5570	200	9	451	451	NUM
cusj-5570	200	10	.	.	PUNCT
cusj-5570	201	1	6	6	NUM
cusj-5570	201	2	.	.	X
cusj-5570	201	3	frey	frey	PROPN
cusj-5570	201	4	,	,	PUNCT
cusj-5570	201	5	b.j	b.j	PROPN
cusj-5570	201	6	.	.	PROPN
cusj-5570	201	7	and	and	CCONJ
cusj-5570	201	8	dueck	dueck	PROPN
cusj-5570	201	9	,	,	PUNCT
cusj-5570	201	10	d.	d.	PROPN
cusj-5570	201	11	(	(	PUNCT
cusj-5570	201	12	2007	2007	NUM
cusj-5570	201	13	)	)	PUNCT
cusj-5570	201	14	.	.	PUNCT
cusj-5570	202	1	clustering	cluster	VERB
cusj-5570	202	2	by	by	ADP
cusj-5570	202	3	passing	pass	VERB
cusj-5570	202	4	messages	message	NOUN
cusj-5570	202	5	between	between	ADP
cusj-5570	202	6	data	datum	NOUN
cusj-5570	202	7	points	point	NOUN
cusj-5570	202	8	.	.	PUNCT
cusj-5570	203	1	science	science	NOUN
cusj-5570	203	2	315	315	NUM
cusj-5570	203	3	,	,	PUNCT
cusj-5570	203	4	972–976	972–976	NUM
cusj-5570	203	5	.	.	PUNCT
cusj-5570	204	1	7	7	X
cusj-5570	204	2	.	.	X
cusj-5570	204	3	helmstaedter	helmstaedter	NOUN
cusj-5570	204	4	,	,	PUNCT
cusj-5570	204	5	m.	m.	NOUN
cusj-5570	204	6	;	;	PUNCT
cusj-5570	204	7	sakmann	sakmann	PROPN
cusj-5570	204	8	,	,	PUNCT
cusj-5570	204	9	b.	b.	PROPN
cusj-5570	204	10	;	;	PUNCT
cusj-5570	204	11	and	and	CCONJ
cusj-5570	204	12	feldmeyer	feldmeyer	PROPN
cusj-5570	204	13	,	,	PUNCT
cusj-5570	204	14	d.	d.	PROPN
cusj-5570	204	15	(	(	PUNCT
cusj-5570	204	16	2009	2009	NUM
cusj-5570	204	17	)	)	PUNCT
cusj-5570	204	18	.	.	PUNCT
cusj-5570	205	1	l2/3	l2/3	PROPN
cusj-5570	205	2	interneuron	interneuron	NOUN
cusj-5570	205	3	groups	group	NOUN
cusj-5570	205	4	defined	define	VERB
cusj-5570	205	5	by	by	ADP
cusj-5570	205	6	multiparameter	multiparameter	NOUN
cusj-5570	205	7	analysis	analysis	NOUN
cusj-5570	205	8	of	of	ADP
cusj-5570	205	9	axonal	axonal	ADJ
cusj-5570	205	10	projection	projection	NOUN
cusj-5570	205	11	,	,	PUNCT
cusj-5570	205	12	dendritic	dendritic	ADJ
cusj-5570	205	13	geometry	geometry	NOUN
cusj-5570	205	14	,	,	PUNCT
cusj-5570	205	15	and	and	CCONJ
cusj-5570	205	16	electrical	electrical	ADJ
cusj-5570	205	17	excitability	excitability	NOUN
cusj-5570	205	18	.	.	PUNCT
cusj-5570	206	1	cereb	cereb	PROPN
cusj-5570	206	2	.	.	PUNCT
cusj-5570	207	1	cortex	cortex	NOUN
cusj-5570	207	2	19	19	NUM
cusj-5570	207	3	,	,	PUNCT
cusj-5570	207	4	951	951	NUM
cusj-5570	207	5	–	–	PUNCT
cusj-5570	207	6	962	962	NUM
cusj-5570	207	7	.	.	NOUN
cusj-5570	207	8	8	8	NUM
cusj-5570	207	9	.	.	X
cusj-5570	207	10	karagiannis	karagiannis	PROPN
cusj-5570	207	11	,	,	PUNCT
cusj-5570	207	12	a.	a.	NOUN
cusj-5570	207	13	;	;	PUNCT
cusj-5570	207	14	gallopin	gallopin	NOUN
cusj-5570	207	15	,	,	PUNCT
cusj-5570	207	16	t.	t.	PROPN
cusj-5570	207	17	;	;	PUNCT
cusj-5570	207	18	david	david	PROPN
cusj-5570	207	19	,	,	PUNCT
cusj-5570	207	20	c.	c.	PROPN
cusj-5570	207	21	;	;	PUNCT
cusj-5570	207	22	battaglia	battaglia	PROPN
cusj-5570	207	23	,	,	PUNCT
cusj-5570	207	24	d.	d.	PROPN
cusj-5570	207	25	;	;	PUNCT
cusj-5570	207	26	geoffroy	geoffroy	PROPN
cusj-5570	207	27	,	,	PUNCT
cusj-5570	207	28	h.	h.	PROPN
cusj-5570	207	29	;	;	PUNCT
cusj-5570	207	30	rossier	rossier	PROPN
cusj-5570	207	31	,	,	PUNCT
cusj-5570	207	32	j.	j.	PROPN
cusj-5570	207	33	;	;	PUNCT
cusj-5570	207	34	et	et	PROPN
cusj-5570	207	35	al	al	PROPN
cusj-5570	207	36	.	.	PUNCT
cusj-5570	207	37	(	(	PUNCT
cusj-5570	207	38	2009	2009	NUM
cusj-5570	207	39	)	)	PUNCT
cusj-5570	207	40	.	.	PUNCT
cusj-5570	208	1	classification	classification	NOUN
cusj-5570	208	2	of	of	ADP
cusj-5570	208	3	npyexpressing	npyexpresse	VERB
cusj-5570	208	4	neocortical	neocortical	ADJ
cusj-5570	208	5	interneurons	interneuron	NOUN
cusj-5570	208	6	.	.	PUNCT
cusj-5570	209	1	j.	j.	PROPN
cusj-5570	209	2	neurosci	neurosci	PROPN
cusj-5570	209	3	.	.	PUNCT
cusj-5570	210	1	29	29	NUM
cusj-5570	210	2	,	,	PUNCT
cusj-5570	210	3	3642	3642	NUM
cusj-5570	210	4	–	–	PUNCT
cusj-5570	210	5	3659	3659	NUM
cusj-5570	210	6	.	.	PUNCT
cusj-5570	211	1	9	9	X
cusj-5570	211	2	.	.	X
cusj-5570	211	3	karube	karube	PROPN
cusj-5570	211	4	,	,	PUNCT
cusj-5570	211	5	f.	f.	PROPN
cusj-5570	211	6	;	;	PUNCT
cusj-5570	211	7	kubota	kubota	PROPN
cusj-5570	211	8	,	,	PUNCT
cusj-5570	211	9	y.	y.	PROPN
cusj-5570	211	10	;	;	PUNCT
cusj-5570	211	11	and	and	CCONJ
cusj-5570	211	12	kawaguchi	kawaguchi	PROPN
cusj-5570	211	13	,	,	PUNCT
cusj-5570	211	14	y.	y.	PROPN
cusj-5570	211	15	;	;	PUNCT
cusj-5570	211	16	(	(	PUNCT
cusj-5570	211	17	2004	2004	NUM
cusj-5570	211	18	)	)	PUNCT
cusj-5570	211	19	.	.	PUNCT
cusj-5570	212	1	axon	axon	NOUN
cusj-5570	212	2	branching	branch	VERB
cusj-5570	212	3	and	and	CCONJ
cusj-5570	212	4	synaptic	synaptic	ADJ
cusj-5570	212	5	bouton	bouton	NOUN
cusj-5570	212	6	phenotypes	phenotype	NOUN
cusj-5570	212	7	in	in	ADP
cusj-5570	212	8	gabaergic	gabaergic	ADJ
cusj-5570	212	9	nonpyramidal	nonpyramidal	ADJ
cusj-5570	212	10	cell	cell	NOUN
cusj-5570	212	11	subtypes	subtype	NOUN
cusj-5570	212	12	.	.	PUNCT
cusj-5570	213	1	j.	j.	PROPN
cusj-5570	213	2	neurosci	neurosci	PROPN
cusj-5570	213	3	.	.	PUNCT
cusj-5570	214	1	24	24	NUM
cusj-5570	214	2	,	,	PUNCT
cusj-5570	214	3	2853–2865	2853–2865	NUM
cusj-5570	214	4	.	.	NOUN
cusj-5570	215	1	10	10	NUM
cusj-5570	215	2	.	.	PUNCT
cusj-5570	216	1	liu	liu	PROPN
cusj-5570	216	2	,	,	PUNCT
cusj-5570	216	3	j.h	j.h	PROPN
cusj-5570	216	4	.	.	PROPN
cusj-5570	216	5	;	;	PUNCT
cusj-5570	216	6	hansen	hansen	PROPN
cusj-5570	216	7	,	,	PUNCT
cusj-5570	216	8	d.v	d.v	PROPN
cusj-5570	216	9	.	.	PROPN
cusj-5570	216	10	;	;	PUNCT
cusj-5570	216	11	kriegstein	kriegstein	PROPN
cusj-5570	216	12	,	,	PUNCT
cusj-5570	216	13	a.r	a.r	PROPN
cusj-5570	216	14	.	.	PROPN
cusj-5570	216	15	;	;	PUNCT
cusj-5570	216	16	development	development	NOUN
cusj-5570	216	17	and	and	CCONJ
cusj-5570	216	18	evolution	evolution	NOUN
cusj-5570	216	19	of	of	ADP
cusj-5570	216	20	the	the	DET
cusj-5570	216	21	human	human	ADJ
cusj-5570	216	22	neocortex	neocortex	NOUN
cusj-5570	216	23	.	.	PUNCT
cusj-5570	217	1	cell	cell	NOUN
cusj-5570	217	2	.	.	PUNCT
cusj-5570	218	1	2011	2011	NUM
cusj-5570	218	2	july	july	NOUN
cusj-5570	218	3	8	8	NUM
cusj-5570	218	4	.	.	PUNCT
cusj-5570	219	1	146(i	146(i	NUM
cusj-5570	219	2	):	):	PUNCT
cusj-5570	219	3	18	18	NUM
cusj-5570	219	4	-	-	SYM
cusj-5570	219	5	36	36	NUM
cusj-5570	219	6	.	.	PUNCT
cusj-5570	220	1	11	11	NUM
cusj-5570	220	2	.	.	PUNCT
cusj-5570	221	1	ma	ma	PROPN
cusj-5570	221	2	,	,	PUNCT
cusj-5570	221	3	y.	y.	PROPN
cusj-5570	221	4	,	,	PUNCT
cusj-5570	221	5	hu	hu	PROPN
cusj-5570	221	6	,	,	PUNCT
cusj-5570	221	7	h.	h.	PROPN
cusj-5570	221	8	,	,	PUNCT
cusj-5570	221	9	berrebi	berrebi	PROPN
cusj-5570	221	10	,	,	PUNCT
cusj-5570	221	11	a.s	a.s	PROPN
cusj-5570	221	12	.	.	PROPN
cusj-5570	221	13	,	,	PUNCT
cusj-5570	221	14	mathers	mathers	PROPN
cusj-5570	221	15	,	,	PUNCT
cusj-5570	221	16	p.h	p.h	PROPN
cusj-5570	221	17	.	.	PROPN
cusj-5570	221	18	,	,	PUNCT
cusj-5570	221	19	and	and	CCONJ
cusj-5570	221	20	agmon	agmon	PROPN
cusj-5570	221	21	,	,	PUNCT
cusj-5570	221	22	a.	a.	NOUN
cusj-5570	221	23	(	(	PUNCT
cusj-5570	221	24	2006	2006	NUM
cusj-5570	221	25	)	)	PUNCT
cusj-5570	221	26	.	.	PUNCT
cusj-5570	222	1	distinct	distinct	ADJ
cusj-5570	222	2	subtypes	subtype	NOUN
cusj-5570	222	3	of	of	ADP
cusj-5570	222	4	somatostatin	somatostatin	NOUN
cusj-5570	222	5	-	-	PUNCT
cusj-5570	222	6	containing	contain	VERB
cusj-5570	222	7	neocortical	neocortical	ADJ
cusj-5570	222	8	interneurons	interneuron	NOUN
cusj-5570	222	9	revealed	reveal	VERB
cusj-5570	222	10	in	in	ADP
cusj-5570	222	11	transgenic	transgenic	NOUN
cusj-5570	222	12	mice	mouse	NOUN
cusj-5570	222	13	.	.	PUNCT
cusj-5570	223	1	j.	j.	PROPN
cusj-5570	223	2	neurosci	neurosci	PROPN
cusj-5570	223	3	.	.	PUNCT
cusj-5570	224	1	26	26	NUM
cusj-5570	224	2	,	,	PUNCT
cusj-5570	224	3	5069–5082	5069–5082	NUM
cusj-5570	224	4	.	.	PUNCT
cusj-5570	225	1	12	12	NUM
cusj-5570	225	2	.	.	PUNCT
cusj-5570	226	1	mcgarry	mcgarry	PROPN
cusj-5570	226	2	,	,	PUNCT
cusj-5570	226	3	l.m	l.m	PROPN
cusj-5570	226	4	.	.	PROPN
cusj-5570	226	5	;	;	PUNCT
cusj-5570	226	6	packer	packer	PROPN
cusj-5570	226	7	,	,	PUNCT
cusj-5570	226	8	a.m.	a.m.	ADV
cusj-5570	226	9	;	;	PUNCT
cusj-5570	226	10	fino	fino	PROPN
cusj-5570	226	11	,	,	PUNCT
cusj-5570	226	12	e.	e.	PROPN
cusj-5570	226	13	;	;	PUNCT
cusj-5570	226	14	nikolenko	nikolenko	PROPN
cusj-5570	226	15	,	,	PUNCT
cusj-5570	226	16	v.	v.	PROPN
cusj-5570	226	17	;	;	PUNCT
cusj-5570	226	18	sippy	sippy	PROPN
cusj-5570	226	19	,	,	PUNCT
cusj-5570	226	20	t.	t.	PROPN
cusj-5570	226	21	;	;	PUNCT
cusj-5570	226	22	and	and	CCONJ
cusj-5570	226	23	yuste	yuste	NOUN
cusj-5570	226	24	,	,	PUNCT
cusj-5570	226	25	r.	r.	PROPN
cusj-5570	226	26	(	(	PUNCT
cusj-5570	226	27	2010	2010	NUM
cusj-5570	226	28	)	)	PUNCT
cusj-5570	226	29	.	.	PUNCT
cusj-5570	227	1	quantitative	quantitative	ADJ
cusj-5570	227	2	classification	classification	NOUN
cusj-5570	227	3	of	of	ADP
cusj-5570	227	4	somatostatinpositive	somatostatinpositive	ADJ
cusj-5570	227	5	neocortical	neocortical	ADJ
cusj-5570	227	6	interneurons	interneuron	NOUN
cusj-5570	227	7	identifies	identify	VERB
cusj-5570	227	8	three	three	NUM
cusj-5570	227	9	interneuron	interneuron	NOUN
cusj-5570	227	10	subtypes	subtype	NOUN
cusj-5570	227	11	.	.	PUNCT
cusj-5570	228	1	front	front	ADJ
cusj-5570	228	2	.	.	PUNCT
cusj-5570	229	1	neural	neural	ADJ
cusj-5570	229	2	circuits	circuit	NOUN
cusj-5570	229	3	4:12	4:12	NUM
cusj-5570	229	4	.	.	NOUN
cusj-5570	229	5	13	13	NUM
cusj-5570	229	6	.	.	X
cusj-5570	229	7	packer	packer	PROPN
cusj-5570	229	8	,	,	PUNCT
cusj-5570	229	9	a.m.	a.m.	ADV
cusj-5570	229	10	;	;	PUNCT
cusj-5570	229	11	and	and	CCONJ
cusj-5570	229	12	yuste	yuste	NOUN
cusj-5570	229	13	,	,	PUNCT
cusj-5570	229	14	r.	r.	PROPN
cusj-5570	229	15	(	(	PUNCT
cusj-5570	229	16	2011	2011	NUM
cusj-5570	229	17	)	)	PUNCT
cusj-5570	229	18	.	.	PUNCT
cusj-5570	230	1	dense	dense	ADJ
cusj-5570	230	2	,	,	PUNCT
cusj-5570	230	3	unspecific	unspecific	ADJ
cusj-5570	230	4	connectivity	connectivity	NOUN
cusj-5570	230	5	of	of	ADP
cusj-5570	230	6	neocortical	neocortical	ADJ
cusj-5570	230	7	parvalbumin	parvalbumin	ADJ
cusj-5570	230	8	-	-	PUNCT
cusj-5570	230	9	positive	positive	ADJ
cusj-5570	230	10	interneurons	interneuron	NOUN
cusj-5570	230	11	:	:	PUNCT
cusj-5570	230	12	a	a	DET
cusj-5570	230	13	canonical	canonical	ADJ
cusj-5570	230	14	microcircuit	microcircuit	NOUN
cusj-5570	230	15	for	for	ADP
cusj-5570	230	16	inhibition	inhibition	NOUN
cusj-5570	230	17	.	.	PUNCT
cusj-5570	231	1	j.	j.	PROPN
cusj-5570	231	2	neurosci	neurosci	PROPN
cusj-5570	231	3	.	.	PUNCT
cusj-5570	232	1	31	31	NUM
cusj-5570	232	2	,	,	PUNCT
cusj-5570	232	3	13260–13271	13260–13271	NUM
cusj-5570	232	4	.	.	PUNCT
cusj-5570	233	1	14	14	NUM
cusj-5570	233	2	.	.	PUNCT
cusj-5570	234	1	oliva	oliva	PROPN
cusj-5570	234	2	,	,	PUNCT
cusj-5570	234	3	a.a	a.a	PROPN
cusj-5570	234	4	.	.	PROPN
cusj-5570	234	5	jr	jr	PROPN
cusj-5570	234	6	.	.	PROPN
cusj-5570	234	7	;	;	PUNCT
cusj-5570	234	8	jiang	jiang	PROPN
cusj-5570	234	9	,	,	PUNCT
cusj-5570	234	10	m.	m.	NOUN
cusj-5570	234	11	;	;	PUNCT
cusj-5570	234	12	lam	lam	PROPN
cusj-5570	234	13	,	,	PUNCT
cusj-5570	234	14	t.	t.	PROPN
cusj-5570	234	15	;	;	PUNCT
cusj-5570	234	16	smith	smith	PROPN
cusj-5570	234	17	,	,	PUNCT
cusj-5570	234	18	k.l	k.l	PROPN
cusj-5570	234	19	.	.	PROPN
cusj-5570	234	20	,	,	PUNCT
cusj-5570	234	21	;	;	PUNCT
cusj-5570	234	22	and	and	CCONJ
cusj-5570	234	23	swann	swann	PROPN
cusj-5570	234	24	,	,	PUNCT
cusj-5570	234	25	j.w	j.w	PROPN
cusj-5570	234	26	.	.	PROPN
cusj-5570	234	27	;	;	PUNCT
cusj-5570	234	28	(	(	PUNCT
cusj-5570	234	29	2000	2000	NUM
cusj-5570	234	30	)	)	PUNCT
cusj-5570	234	31	.	.	PUNCT
cusj-5570	235	1	novel	novel	NOUN
cusj-5570	235	2	hippocampal	hippocampal	VERB
cusj-5570	235	3	interneuronal	interneuronal	ADJ
cusj-5570	235	4	subtypes	subtype	NOUN
cusj-5570	235	5	identified	identify	VERB
cusj-5570	235	6	using	use	VERB
cusj-5570	235	7	transgenic	transgenic	NOUN
cusj-5570	235	8	mice	mouse	NOUN
cusj-5570	235	9	that	that	PRON
cusj-5570	235	10	express	express	VERB
cusj-5570	235	11	green	green	ADJ
cusj-5570	235	12	fluorescent	fluorescent	ADJ
cusj-5570	235	13	protein	protein	NOUN
cusj-5570	235	14	in	in	ADP
cusj-5570	235	15	gabaergic	gabaergic	ADJ
cusj-5570	235	16	interneurons	interneuron	NOUN
cusj-5570	235	17	.	.	PUNCT
cusj-5570	236	1	j.	j.	PROPN
cusj-5570	236	2	neurosci	neurosci	PROPN
cusj-5570	236	3	.	.	PROPN
cusj-5570	237	1	20	20	NUM
cusj-5570	237	2	,	,	PUNCT
cusj-5570	237	3	3354–3368	3354–3368	NUM
cusj-5570	237	4	.	.	PUNCT
cusj-5570	238	1	15	15	NUM
cusj-5570	238	2	.	.	PUNCT
cusj-5570	239	1	ramón	ramón	PROPN
cusj-5570	239	2	y	y	PROPN
cusj-5570	239	3	cajal	cajal	PROPN
cusj-5570	239	4	,	,	PUNCT
cusj-5570	239	5	s.	s.	PROPN
cusj-5570	239	6	(	(	PUNCT
cusj-5570	239	7	1911	1911	NUM
cusj-5570	239	8	)	)	PUNCT
cusj-5570	239	9	.	.	PUNCT
cusj-5570	240	1	histologie	histologie	VERB
cusj-5570	240	2	du	du	PROPN
cusj-5570	240	3	systeme	systeme	PROPN
cusj-5570	240	4	nerveux	nerveux	PROPN
cusj-5570	240	5	de	de	X
cusj-5570	240	6	l'homme	l'homme	X
cusj-5570	240	7	et	et	PROPN
cusj-5570	240	8	des	des	PROPN
cusj-5570	240	9	vertebres	vertebres	PROPN
cusj-5570	240	10	.	.	PUNCT
cusj-5570	241	1	vol	vol	NOUN
cusj-5570	241	2	.	.	PROPN
cusj-5570	242	1	2	2	X
cusj-5570	242	2	.	.	X
cusj-5570	242	3	paris	paris	PROPN
cusj-5570	242	4	:	:	PUNCT
cusj-5570	242	5	maloine	maloine	PROPN
cusj-5570	242	6	.	.	PUNCT
cusj-5570	243	1	16	16	NUM
cusj-5570	243	2	.	.	PUNCT
cusj-5570	244	1	taniguchi	taniguchi	PROPN
cusj-5570	244	2	h.	h.	PROPN
cusj-5570	244	3	;	;	PUNCT
cusj-5570	244	4	lu	lu	PROPN
cusj-5570	244	5	j.	j.	PROPN
cusj-5570	244	6	;	;	PUNCT
cusj-5570	244	7	huang	huang	PROPN
cusj-5570	244	8	z.j	z.j	PROPN
cusj-5570	244	9	.	.	PROPN
cusj-5570	244	10	;	;	PUNCT
cusj-5570	244	11	(	(	PUNCT
cusj-5570	244	12	2013	2013	NUM
cusj-5570	244	13	)	)	PUNCT
cusj-5570	244	14	.	.	PUNCT
cusj-5570	245	1	"	"	PUNCT
cusj-5570	245	2	the	the	DET
cusj-5570	245	3	spatial	spatial	ADJ
cusj-5570	245	4	and	and	CCONJ
cusj-5570	245	5	temporal	temporal	ADJ
cusj-5570	245	6	origin	origin	NOUN
cusj-5570	245	7	of	of	ADP
cusj-5570	245	8	chandelier	chandelier	NOUN
cusj-5570	245	9	cells	cell	NOUN
cusj-5570	245	10	in	in	ADP
cusj-5570	245	11	mouse	mouse	NOUN
cusj-5570	245	12	neocortex	neocortex	NOUN
cusj-5570	245	13	"	"	PUNCT
cusj-5570	245	14	.	.	PUNCT
cusj-5570	246	1	science	science	NOUN
cusj-5570	246	2	339	339	NUM
cusj-5570	246	3	(	(	PUNCT
cusj-5570	246	4	6115	6115	NUM
cusj-5570	246	5	)	)	PUNCT
cusj-5570	246	6	.	.	PUNCT
cusj-5570	247	1	17	17	NUM
cusj-5570	247	2	.	.	X
cusj-5570	248	1	woodruff	woodruff	PROPN
cusj-5570	248	2	,	,	PUNCT
cusj-5570	248	3	a.	a.	PROPN
cusj-5570	248	4	;	;	PUNCT
cusj-5570	248	5	xu	xu	PROPN
cusj-5570	248	6	,	,	PUNCT
cusj-5570	248	7	q.	q.	PROPN
cusj-5570	248	8	;	;	PUNCT
cusj-5570	248	9	anderson	anderson	PROPN
cusj-5570	248	10	,	,	PUNCT
cusj-5570	248	11	s.	s.	PROPN
cusj-5570	248	12	a.	a.	PROPN
cusj-5570	248	13	;	;	PUNCT
cusj-5570	248	14	and	and	CCONJ
cusj-5570	248	15	yuste	yuste	NOUN
cusj-5570	248	16	,	,	PUNCT
cusj-5570	248	17	r.	r.	PROPN
cusj-5570	248	18	(	(	PUNCT
cusj-5570	248	19	2009	2009	NUM
cusj-5570	248	20	)	)	PUNCT
cusj-5570	248	21	.	.	PUNCT
cusj-5570	249	1	depolarizing	depolarizing	NOUN
cusj-5570	249	2	effect	effect	NOUN
cusj-5570	249	3	of	of	ADP
cusj-5570	249	4	neocortical	neocortical	ADJ
cusj-5570	249	5	chandelier	chandelier	NOUN
cusj-5570	249	6	neurons	neuron	NOUN
cusj-5570	249	7	.	.	PUNCT
cusj-5570	250	1	front	front	ADJ
cusj-5570	250	2	.	.	PUNCT
cusj-5570	251	1	neural	neural	ADJ
cusj-5570	251	2	circuits	circuit	NOUN
cusj-5570	251	3	3:15	3:15	NUM
cusj-5570	251	4	.	.	PUNCT
cusj-5570	252	1	neuroscience	neuroscience	PROPN
cusj-5570	252	2	columbia	columbia	PROPN
cusj-5570	252	3	undergraduate	undergraduate	PROPN
cusj-5570	252	4	science	science	PROPN
cusj-5570	252	5	journal	journal	PROPN
cusj-5570	252	6	open	open	ADJ
cusj-5570	252	7	-	-	PUNCT
cusj-5570	252	8	access	access	NOUN
cusj-5570	252	9	publication	publication	NOUN
cusj-5570	252	10	|	|	NOUN
cusj-5570	252	11	http://cusj.columbia.edu	http://cusj.columbia.edu	PROPN
cusj-5570	252	12	spring	spring	NOUN
cusj-5570	252	13	2014	2014	NUM
cusj-5570	253	1	|	|	ADV
cusj-5570	253	2	volume	volume	NOUN
cusj-5570	253	3	8	8	NUM
cusj-5570	253	4	29	29	NUM
cusj-5570	253	5	appendices	appendix	NOUN
cusj-5570	253	6	appendix	appendix	VERB
cusj-5570	253	7	1	1	NUM
cusj-5570	253	8	:	:	PUNCT
cusj-5570	253	9	electrophysiological	electrophysiological	ADJ
cusj-5570	253	10	variables	variable	NOUN
cusj-5570	253	11	.	.	PUNCT
cusj-5570	254	1	action	action	NOUN
cusj-5570	254	2	potential	potential	ADJ
cusj-5570	254	3	properties	property	NOUN
cusj-5570	254	4	measured	measure	VERB
cusj-5570	254	5	from	from	ADP
cusj-5570	254	6	response	response	NOUN
cusj-5570	254	7	to	to	ADP
cusj-5570	254	8	twice	twice	ADJ
cusj-5570	254	9	threshold	threshold	NOUN
cusj-5570	254	10	,	,	PUNCT
cusj-5570	254	11	500	500	NUM
cusj-5570	254	12	-	-	PUNCT
cusj-5570	254	13	ms	ms	NOUN
cusj-5570	254	14	current	current	ADJ
cusj-5570	254	15	injection	injection	NOUN
cusj-5570	254	16	from	from	ADP
cusj-5570	254	17	first	first	ADJ
cusj-5570	254	18	action	action	NOUN
cusj-5570	254	19	potential	potential	NOUN
cusj-5570	254	20	(	(	PUNCT
cusj-5570	254	21	ap1	ap1	PROPN
cusj-5570	254	22	)	)	PUNCT
cusj-5570	254	23	and	and	CCONJ
cusj-5570	254	24	second	second	ADJ
cusj-5570	254	25	action	action	NOUN
cusj-5570	254	26	potential	potential	NOUN
cusj-5570	254	27	(	(	PUNCT
cusj-5570	254	28	ap2	ap2	PROPN
cusj-5570	254	29	)	)	PUNCT
cusj-5570	254	30	.	.	PUNCT
cusj-5570	255	1	ap2	ap2	PROPN
cusj-5570	255	2	variables	variable	NOUN
cusj-5570	255	3	not	not	PART
cusj-5570	255	4	listed	list	VERB
cusj-5570	255	5	as	as	SCONJ
cusj-5570	255	6	the	the	DET
cusj-5570	255	7	same	same	ADJ
cusj-5570	255	8	measurements	measurement	NOUN
cusj-5570	255	9	were	be	AUX
cusj-5570	255	10	made	make	VERB
cusj-5570	255	11	for	for	ADP
cusj-5570	255	12	ap2	ap2	PROPN
cusj-5570	255	13	as	as	SCONJ
cusj-5570	255	14	listed	list	VERB
cusj-5570	255	15	for	for	ADP
cusj-5570	255	16	ap1	ap1	PROPN
cusj-5570	255	17	.	.	PUNCT
cusj-5570	256	1	appendix	appendix	VERB
cusj-5570	256	2	2	2	NUM
cusj-5570	256	3	:	:	PUNCT
cusj-5570	256	4	morphological	morphological	ADJ
cusj-5570	256	5	variables	variable	NOUN
cusj-5570	256	6	.	.	PUNCT
cusj-5570	257	1	variables	variable	NOUN
cusj-5570	257	2	were	be	AUX
cusj-5570	257	3	extracted	extract	VERB
cusj-5570	257	4	using	use	VERB
cusj-5570	257	5	the	the	DET
cusj-5570	257	6	neurolucida	neurolucida	ADJ
cusj-5570	257	7	explorer	explorer	PROPN
cusj-5570	257	8	program	program	NOUN
cusj-5570	257	9	by	by	ADP
cusj-5570	257	10	microbrightfield	microbrightfield	NOUN
cusj-5570	257	11	.	.	PUNCT
cusj-5570	258	1	neuroscience	neuroscience	PROPN
cusj-5570	258	2	columbia	columbia	PROPN
cusj-5570	258	3	undergraduate	undergraduate	PROPN
cusj-5570	258	4	science	science	PROPN
cusj-5570	258	5	journal	journal	PROPN
cusj-5570	258	6	open	open	ADJ
cusj-5570	258	7	-	-	PUNCT
cusj-5570	258	8	access	access	NOUN
cusj-5570	258	9	publication	publication	NOUN
cusj-5570	258	10	|	|	NOUN
cusj-5570	258	11	http://cusj.columbia.edu	http://cusj.columbia.edu	PROPN
cusj-5570	258	12	spring	spring	NOUN
cusj-5570	258	13	2014	2014	NUM
cusj-5570	259	1	|	|	ADV
cusj-5570	259	2	volume	volume	NOUN
cusj-5570	259	3	8	8	NUM
cusj-5570	259	4	30	30	NUM
cusj-5570	259	5	appendix	appendix	NOUN
cusj-5570	259	6	3	3	NUM
cusj-5570	259	7	:	:	PUNCT
cusj-5570	259	8	using	use	VERB
cusj-5570	259	9	20	20	NUM
cusj-5570	259	10	electrophysiological	electrophysiological	ADJ
cusj-5570	259	11	variables	variable	NOUN
cusj-5570	259	12	,	,	PUNCT
cusj-5570	259	13	337	337	NUM
cusj-5570	259	14	interneurons	interneuron	NOUN
cusj-5570	259	15	were	be	AUX
cusj-5570	259	16	visualized	visualize	VERB
cusj-5570	259	17	by	by	ADP
cusj-5570	259	18	creating	create	VERB
cusj-5570	259	19	the	the	DET
cusj-5570	259	20	scatter	scatter	NOUN
cusj-5570	259	21	plot	plot	NOUN
cusj-5570	259	22	matrix	matrix	NOUN
cusj-5570	259	23	above	above	ADP
cusj-5570	259	24	of	of	ADP
cusj-5570	259	25	the	the	DET
cusj-5570	259	26	two	two	NUM
cusj-5570	259	27	principal	principal	ADJ
cusj-5570	259	28	components	component	NOUN
cusj-5570	259	29	of	of	ADP
cusj-5570	259	30	the	the	DET
cusj-5570	259	31	neuronal	neuronal	ADJ
cusj-5570	259	32	data	datum	NOUN
cusj-5570	259	33	.	.	PUNCT
cusj-5570	260	1	appendix	appendix	NOUN
cusj-5570	260	2	4	4	NUM
cusj-5570	260	3	:	:	PUNCT
cusj-5570	260	4	using	use	VERB
cusj-5570	260	5	20	20	NUM
cusj-5570	260	6	electrophysiological	electrophysiological	ADJ
cusj-5570	260	7	variables	variable	NOUN
cusj-5570	260	8	,	,	PUNCT
cusj-5570	260	9	a	a	DET
cusj-5570	260	10	color	color	NOUN
cusj-5570	260	11	map	map	NOUN
cusj-5570	260	12	was	be	AUX
cusj-5570	260	13	made	make	VERB
cusj-5570	260	14	of	of	ADP
cusj-5570	260	15	337	337	NUM
cusj-5570	260	16	interneurons	interneuron	NOUN
cusj-5570	260	17	and	and	CCONJ
cusj-5570	260	18	hierarchical	hierarchical	ADJ
cusj-5570	260	19	clustering	clustering	NOUN
cusj-5570	260	20	was	be	AUX
cusj-5570	260	21	done	do	VERB
cusj-5570	260	22	,	,	PUNCT
cusj-5570	260	23	revealing	reveal	VERB
cusj-5570	260	24	3	3	NUM
cusj-5570	260	25	distinct	distinct	ADJ
cusj-5570	260	26	clusters	cluster	NOUN
cusj-5570	260	27	as	as	SCONJ
cusj-5570	260	28	did	do	VERB
cusj-5570	260	29	affinity	affinity	NOUN
cusj-5570	260	30	propagation	propagation	NOUN
cusj-5570	260	31	.	.	PUNCT
cusj-5570	261	1	neuroscience	neuroscience	NOUN