Integration, coincidence detection and resonance in networks of spiking neurons expressing Gamma oscillations and asynchronous states.

Gamma oscillations are widely seen in the awake and sleeping cerebral cortex, but the exact role of these oscillations is still debated. Here, we used biophysical models to examine how Gamma oscillations may participate to the processing of afferent stimuli. We constructed conductance-based network...

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Autores principales:	Eduarda Susin, Alain Destexhe
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/a0f3df9c92b9470fb68c69bbc62ebbf8
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spelling	oai:doaj.org-article:a0f3df9c92b9470fb68c69bbc62ebbf82021-12-02T19:57:47ZIntegration, coincidence detection and resonance in networks of spiking neurons expressing Gamma oscillations and asynchronous states.1553-734X1553-735810.1371/journal.pcbi.1009416https://doaj.org/article/a0f3df9c92b9470fb68c69bbc62ebbf82021-09-01T00:00:00Zhttps://doi.org/10.1371/journal.pcbi.1009416https://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Gamma oscillations are widely seen in the awake and sleeping cerebral cortex, but the exact role of these oscillations is still debated. Here, we used biophysical models to examine how Gamma oscillations may participate to the processing of afferent stimuli. We constructed conductance-based network models of Gamma oscillations, based on different cell types found in cerebral cortex. The models were adjusted to extracellular unit recordings in humans, where Gamma oscillations always coexist with the asynchronous firing mode. We considered three different mechanisms to generate Gamma, first a mechanism based on the interaction between pyramidal neurons and interneurons (PING), second a mechanism in which Gamma is generated by interneuron networks (ING) and third, a mechanism which relies on Gamma oscillations generated by pacemaker chattering neurons (CHING). We find that all three mechanisms generate features consistent with human recordings, but that the ING mechanism is most consistent with the firing rate change inside Gamma bursts seen in the human data. We next evaluated the responsiveness and resonant properties of these networks, contrasting Gamma oscillations with the asynchronous mode. We find that for both slowly-varying stimuli and precisely-timed stimuli, the responsiveness is generally lower during Gamma compared to asynchronous states, while resonant properties are similar around the Gamma band. We could not find conditions where Gamma oscillations were more responsive. We therefore predict that asynchronous states provide the highest responsiveness to external stimuli, while Gamma oscillations tend to overall diminish responsiveness.Eduarda SusinAlain DestexhePublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 17, Iss 9, p e1009416 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Eduarda Susin Alain Destexhe Integration, coincidence detection and resonance in networks of spiking neurons expressing Gamma oscillations and asynchronous states.
description	Gamma oscillations are widely seen in the awake and sleeping cerebral cortex, but the exact role of these oscillations is still debated. Here, we used biophysical models to examine how Gamma oscillations may participate to the processing of afferent stimuli. We constructed conductance-based network models of Gamma oscillations, based on different cell types found in cerebral cortex. The models were adjusted to extracellular unit recordings in humans, where Gamma oscillations always coexist with the asynchronous firing mode. We considered three different mechanisms to generate Gamma, first a mechanism based on the interaction between pyramidal neurons and interneurons (PING), second a mechanism in which Gamma is generated by interneuron networks (ING) and third, a mechanism which relies on Gamma oscillations generated by pacemaker chattering neurons (CHING). We find that all three mechanisms generate features consistent with human recordings, but that the ING mechanism is most consistent with the firing rate change inside Gamma bursts seen in the human data. We next evaluated the responsiveness and resonant properties of these networks, contrasting Gamma oscillations with the asynchronous mode. We find that for both slowly-varying stimuli and precisely-timed stimuli, the responsiveness is generally lower during Gamma compared to asynchronous states, while resonant properties are similar around the Gamma band. We could not find conditions where Gamma oscillations were more responsive. We therefore predict that asynchronous states provide the highest responsiveness to external stimuli, while Gamma oscillations tend to overall diminish responsiveness.
format	article
author	Eduarda Susin Alain Destexhe
author_facet	Eduarda Susin Alain Destexhe
author_sort	Eduarda Susin
title	Integration, coincidence detection and resonance in networks of spiking neurons expressing Gamma oscillations and asynchronous states.
title_short	Integration, coincidence detection and resonance in networks of spiking neurons expressing Gamma oscillations and asynchronous states.
title_full	Integration, coincidence detection and resonance in networks of spiking neurons expressing Gamma oscillations and asynchronous states.
title_fullStr	Integration, coincidence detection and resonance in networks of spiking neurons expressing Gamma oscillations and asynchronous states.
title_full_unstemmed	Integration, coincidence detection and resonance in networks of spiking neurons expressing Gamma oscillations and asynchronous states.
title_sort	integration, coincidence detection and resonance in networks of spiking neurons expressing gamma oscillations and asynchronous states.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/a0f3df9c92b9470fb68c69bbc62ebbf8
work_keys_str_mv	AT eduardasusin integrationcoincidencedetectionandresonanceinnetworksofspikingneuronsexpressinggammaoscillationsandasynchronousstates AT alaindestexhe integrationcoincidencedetectionandresonanceinnetworksofspikingneuronsexpressinggammaoscillationsandasynchronousstates
_version_	1718375792539336704

Integration, coincidence detection and resonance in networks of spiking neurons expressing Gamma oscillations and asynchronous states.

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