Gamma oscillations of spiking neural populations enhance signal discrimination.

Selective attention is an important filter for complex environments where distractions compete with signals. Attention increases both the gamma-band power of cortical local field potentials and the spike-field coherence within the receptive field of an attended object. However, the mechanisms by whi...

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Autores principales:	Naoki Masuda, Brent Doiron
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2007
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/cb3f159c060840739f7ed566e7980087
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id	oai:doaj.org-article:cb3f159c060840739f7ed566e7980087
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spelling	oai:doaj.org-article:cb3f159c060840739f7ed566e79800872021-11-25T05:41:31ZGamma oscillations of spiking neural populations enhance signal discrimination.1553-734X1553-735810.1371/journal.pcbi.0030236https://doaj.org/article/cb3f159c060840739f7ed566e79800872007-11-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.0030236https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Selective attention is an important filter for complex environments where distractions compete with signals. Attention increases both the gamma-band power of cortical local field potentials and the spike-field coherence within the receptive field of an attended object. However, the mechanisms by which gamma-band activity enhances, if at all, the encoding of input signals are not well understood. We propose that gamma oscillations induce binomial-like spike-count statistics across noisy neural populations. Using simplified models of spiking neurons, we show how the discrimination of static signals based on the population spike-count response is improved with gamma induced binomial statistics. These results give an important mechanistic link between the neural correlates of attention and the discrimination tasks where attention is known to enhance performance. Further, they show how a rhythmicity of spike responses can enhance coding schemes that are not temporally sensitive.Naoki MasudaBrent DoironPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 3, Iss 11, p e236 (2007)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Naoki Masuda Brent Doiron Gamma oscillations of spiking neural populations enhance signal discrimination.
description	Selective attention is an important filter for complex environments where distractions compete with signals. Attention increases both the gamma-band power of cortical local field potentials and the spike-field coherence within the receptive field of an attended object. However, the mechanisms by which gamma-band activity enhances, if at all, the encoding of input signals are not well understood. We propose that gamma oscillations induce binomial-like spike-count statistics across noisy neural populations. Using simplified models of spiking neurons, we show how the discrimination of static signals based on the population spike-count response is improved with gamma induced binomial statistics. These results give an important mechanistic link between the neural correlates of attention and the discrimination tasks where attention is known to enhance performance. Further, they show how a rhythmicity of spike responses can enhance coding schemes that are not temporally sensitive.
format	article
author	Naoki Masuda Brent Doiron
author_facet	Naoki Masuda Brent Doiron
author_sort	Naoki Masuda
title	Gamma oscillations of spiking neural populations enhance signal discrimination.
title_short	Gamma oscillations of spiking neural populations enhance signal discrimination.
title_full	Gamma oscillations of spiking neural populations enhance signal discrimination.
title_fullStr	Gamma oscillations of spiking neural populations enhance signal discrimination.
title_full_unstemmed	Gamma oscillations of spiking neural populations enhance signal discrimination.
title_sort	gamma oscillations of spiking neural populations enhance signal discrimination.
publisher	Public Library of Science (PLoS)
publishDate	2007
url	https://doaj.org/article/cb3f159c060840739f7ed566e7980087
work_keys_str_mv	AT naokimasuda gammaoscillationsofspikingneuralpopulationsenhancesignaldiscrimination AT brentdoiron gammaoscillationsofspikingneuralpopulationsenhancesignaldiscrimination
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Gamma oscillations of spiking neural populations enhance signal discrimination.

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