id	sid	tid	token	lemma	pos
8c97kp81j2v	1	1	understanding	understand	VERB
8c97kp81j2v	1	2	the	the	DET
8c97kp81j2v	1	3	magnitude	magnitude	NOUN
8c97kp81j2v	1	4	and	and	CCONJ
8c97kp81j2v	1	5	structure	structure	NOUN
8c97kp81j2v	1	6	of	of	ADP
8c97kp81j2v	1	7	interneuronal	interneuronal	ADJ
8c97kp81j2v	1	8	correlations	correlation	NOUN
8c97kp81j2v	1	9	and	and	CCONJ
8c97kp81j2v	1	10	their	their	PRON
8c97kp81j2v	1	11	relationship	relationship	NOUN
8c97kp81j2v	1	12	to	to	ADP
8c97kp81j2v	1	13	synaptic	synaptic	NOUN
8c97kp81j2v	1	14	connectivity	connectivity	NOUN
8c97kp81j2v	1	15	structure	structure	NOUN
8c97kp81j2v	1	16	is	be	AUX
8c97kp81j2v	1	17	an	an	DET
8c97kp81j2v	1	18	important	important	ADJ
8c97kp81j2v	1	19	and	and	CCONJ
8c97kp81j2v	1	20	difficult	difficult	ADJ
8c97kp81j2v	1	21	problem	problem	NOUN
8c97kp81j2v	1	22	in	in	ADP
8c97kp81j2v	1	23	computational	computational	ADJ
8c97kp81j2v	1	24	neuroscience	neuroscience	NOUN
8c97kp81j2v	1	25	.	.	PUNCT
8c97kp81j2v	2	1	early	early	ADJ
8c97kp81j2v	2	2	studies	study	NOUN
8c97kp81j2v	2	3	show	show	VERB
8c97kp81j2v	2	4	that	that	SCONJ
8c97kp81j2v	2	5	neuronal	neuronal	ADJ
8c97kp81j2v	2	6	network	network	NOUN
8c97kp81j2v	2	7	models	model	NOUN
8c97kp81j2v	2	8	with	with	ADP
8c97kp81j2v	2	9	excitatory	excitatory	NOUN
8c97kp81j2v	2	10	-	-	PUNCT
8c97kp81j2v	2	11	inhibitory	inhibitory	ADJ
8c97kp81j2v	2	12	balance	balance	NOUN
8c97kp81j2v	2	13	naturally	naturally	ADV
8c97kp81j2v	2	14	create	create	VERB
8c97kp81j2v	2	15	very	very	ADV
8c97kp81j2v	2	16	weak	weak	ADJ
8c97kp81j2v	2	17	spike	spike	ADJ
8c97kp81j2v	2	18	train	train	NOUN
8c97kp81j2v	2	19	correlations	correlation	NOUN
8c97kp81j2v	2	20	,	,	PUNCT
8c97kp81j2v	2	21	defining	define	VERB
8c97kp81j2v	2	22	the	the	DET
8c97kp81j2v	2	23	"	"	PUNCT
8c97kp81j2v	2	24	asynchronous	asynchronous	ADJ
8c97kp81j2v	2	25	state	state	NOUN
8c97kp81j2v	2	26	.	.	PUNCT
8c97kp81j2v	2	27	"	"	PUNCT
8c97kp81j2v	3	1	later	later	ADV
8c97kp81j2v	3	2	work	work	NOUN
8c97kp81j2v	3	3	showed	show	VERB
8c97kp81j2v	3	4	that	that	SCONJ
8c97kp81j2v	3	5	,	,	PUNCT
8c97kp81j2v	3	6	under	under	ADP
8c97kp81j2v	3	7	some	some	DET
8c97kp81j2v	3	8	connectivity	connectivity	NOUN
8c97kp81j2v	3	9	structures	structure	NOUN
8c97kp81j2v	3	10	,	,	PUNCT
8c97kp81j2v	3	11	balanced	balanced	ADJ
8c97kp81j2v	3	12	networks	network	NOUN
8c97kp81j2v	3	13	can	can	AUX
8c97kp81j2v	3	14	produce	produce	VERB
8c97kp81j2v	3	15	larger	large	ADJ
8c97kp81j2v	3	16	correlations	correlation	NOUN
8c97kp81j2v	3	17	between	between	ADP
8c97kp81j2v	3	18	some	some	DET
8c97kp81j2v	3	19	neuron	neuron	NOUN
8c97kp81j2v	3	20	pairs	pair	NOUN
8c97kp81j2v	3	21	,	,	PUNCT
8c97kp81j2v	3	22	even	even	ADV
8c97kp81j2v	3	23	when	when	SCONJ
8c97kp81j2v	3	24	the	the	DET
8c97kp81j2v	3	25	average	average	ADJ
8c97kp81j2v	3	26	correlation	correlation	NOUN
8c97kp81j2v	3	27	is	be	AUX
8c97kp81j2v	3	28	very	very	ADV
8c97kp81j2v	3	29	small	small	ADJ
8c97kp81j2v	3	30	.	.	PUNCT
8c97kp81j2v	4	1	all	all	PRON
8c97kp81j2v	4	2	of	of	ADP
8c97kp81j2v	4	3	these	these	DET
8c97kp81j2v	4	4	previous	previous	ADJ
8c97kp81j2v	4	5	studies	study	NOUN
8c97kp81j2v	4	6	assume	assume	VERB
8c97kp81j2v	4	7	that	that	SCONJ
8c97kp81j2v	4	8	the	the	DET
8c97kp81j2v	4	9	local	local	ADJ
8c97kp81j2v	4	10	network	network	NOUN
8c97kp81j2v	4	11	receives	receive	VERB
8c97kp81j2v	4	12	feedforward	feedforward	ADJ
8c97kp81j2v	4	13	synaptic	synaptic	NOUN
8c97kp81j2v	4	14	input	input	NOUN
8c97kp81j2v	4	15	from	from	ADP
8c97kp81j2v	4	16	a	a	DET
8c97kp81j2v	4	17	population	population	NOUN
8c97kp81j2v	4	18	of	of	ADP
8c97kp81j2v	4	19	uncorrelated	uncorrelated	ADJ
8c97kp81j2v	4	20	spike	spike	PROPN
8c97kp81j2v	4	21	trains	train	NOUN
8c97kp81j2v	4	22	.	.	PUNCT
8c97kp81j2v	5	1	we	we	PRON
8c97kp81j2v	5	2	show	show	VERB
8c97kp81j2v	5	3	that	that	SCONJ
8c97kp81j2v	5	4	when	when	SCONJ
8c97kp81j2v	5	5	spike	spike	ADJ
8c97kp81j2v	5	6	trains	train	NOUN
8c97kp81j2v	5	7	providing	provide	VERB
8c97kp81j2v	5	8	feedforward	feedforward	ADJ
8c97kp81j2v	5	9	input	input	NOUN
8c97kp81j2v	5	10	are	be	AUX
8c97kp81j2v	5	11	correlated	correlate	VERB
8c97kp81j2v	5	12	,	,	PUNCT
8c97kp81j2v	5	13	the	the	DET
8c97kp81j2v	5	14	downstream	downstream	ADJ
8c97kp81j2v	5	15	recurrent	recurrent	ADJ
8c97kp81j2v	5	16	network	network	NOUN
8c97kp81j2v	5	17	produces	produce	VERB
8c97kp81j2v	5	18	much	much	ADV
8c97kp81j2v	5	19	larger	large	ADJ
8c97kp81j2v	5	20	correlations	correlation	NOUN
8c97kp81j2v	5	21	.	.	PUNCT
8c97kp81j2v	6	1	we	we	PRON
8c97kp81j2v	6	2	provide	provide	VERB
8c97kp81j2v	6	3	an	an	DET
8c97kp81j2v	6	4	in	in	ADP
8c97kp81j2v	6	5	-	-	PUNCT
8c97kp81j2v	6	6	depth	depth	NOUN
8c97kp81j2v	6	7	analysis	analysis	NOUN
8c97kp81j2v	6	8	of	of	ADP
8c97kp81j2v	6	9	the	the	DET
8c97kp81j2v	6	10	resulting	result	VERB
8c97kp81j2v	6	11	"	"	PUNCT
8c97kp81j2v	6	12	correlated	correlated	ADJ
8c97kp81j2v	6	13	state	state	NOUN
8c97kp81j2v	6	14	"	"	PUNCT
8c97kp81j2v	6	15	in	in	ADP
8c97kp81j2v	6	16	balanced	balanced	ADJ
8c97kp81j2v	6	17	networks	network	NOUN
8c97kp81j2v	6	18	and	and	CCONJ
8c97kp81j2v	6	19	show	show	VERB
8c97kp81j2v	6	20	that	that	SCONJ
8c97kp81j2v	6	21	,	,	PUNCT
8c97kp81j2v	6	22	unlike	unlike	ADP
8c97kp81j2v	6	23	the	the	DET
8c97kp81j2v	6	24	asynchronous	asynchronous	ADJ
8c97kp81j2v	6	25	state	state	NOUN
8c97kp81j2v	6	26	,	,	PUNCT
8c97kp81j2v	6	27	it	it	PRON
8c97kp81j2v	6	28	produces	produce	VERB
8c97kp81j2v	6	29	a	a	DET
8c97kp81j2v	6	30	tight	tight	ADJ
8c97kp81j2v	6	31	excitatory	excitatory	NOUN
8c97kp81j2v	6	32	-	-	PUNCT
8c97kp81j2v	6	33	inhibitory	inhibitory	ADJ
8c97kp81j2v	6	34	balance	balance	NOUN
8c97kp81j2v	6	35	consistent	consistent	ADJ
8c97kp81j2v	6	36	with	with	ADP
8c97kp81j2v	6	37	in	in	ADP
8c97kp81j2v	6	38	vivo	vivo	ADJ
8c97kp81j2v	6	39	cortical	cortical	ADJ
8c97kp81j2v	6	40	recordings	recording	NOUN
8c97kp81j2v	6	41	.	.	PUNCT