Bistable, irregular firing and population oscillations in a modular attractor memory network.

Attractor neural networks are thought to underlie working memory functions in the cerebral cortex. Several such models have been proposed that successfully reproduce firing properties of neurons recorded from monkeys performing working memory tasks. However, the regular temporal structure of spike t...

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Autores principales:	Mikael Lundqvist, Albert Compte, Anders Lansner
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2010
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/b3d3d90a91cc420aa1ab103e709ffb56
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spelling	oai:doaj.org-article:b3d3d90a91cc420aa1ab103e709ffb562021-12-02T19:58:23ZBistable, irregular firing and population oscillations in a modular attractor memory network.1553-734X1553-735810.1371/journal.pcbi.1000803https://doaj.org/article/b3d3d90a91cc420aa1ab103e709ffb562010-06-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20532199/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358Attractor neural networks are thought to underlie working memory functions in the cerebral cortex. Several such models have been proposed that successfully reproduce firing properties of neurons recorded from monkeys performing working memory tasks. However, the regular temporal structure of spike trains in these models is often incompatible with experimental data. Here, we show that the in vivo observations of bistable activity with irregular firing at the single cell level can be achieved in a large-scale network model with a modular structure in terms of several connected hypercolumns. Despite high irregularity of individual spike trains, the model shows population oscillations in the beta and gamma band in ground and active states, respectively. Irregular firing typically emerges in a high-conductance regime of balanced excitation and inhibition. Population oscillations can produce such a regime, but in previous models only a non-coding ground state was oscillatory. Due to the modular structure of our network, the oscillatory and irregular firing was maintained also in the active state without fine-tuning. Our model provides a novel mechanistic view of how irregular firing emerges in cortical populations as they go from beta to gamma oscillations during memory retrieval.Mikael LundqvistAlbert CompteAnders LansnerPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 6, Iss 6, p e1000803 (2010)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Mikael Lundqvist Albert Compte Anders Lansner Bistable, irregular firing and population oscillations in a modular attractor memory network.
description	Attractor neural networks are thought to underlie working memory functions in the cerebral cortex. Several such models have been proposed that successfully reproduce firing properties of neurons recorded from monkeys performing working memory tasks. However, the regular temporal structure of spike trains in these models is often incompatible with experimental data. Here, we show that the in vivo observations of bistable activity with irregular firing at the single cell level can be achieved in a large-scale network model with a modular structure in terms of several connected hypercolumns. Despite high irregularity of individual spike trains, the model shows population oscillations in the beta and gamma band in ground and active states, respectively. Irregular firing typically emerges in a high-conductance regime of balanced excitation and inhibition. Population oscillations can produce such a regime, but in previous models only a non-coding ground state was oscillatory. Due to the modular structure of our network, the oscillatory and irregular firing was maintained also in the active state without fine-tuning. Our model provides a novel mechanistic view of how irregular firing emerges in cortical populations as they go from beta to gamma oscillations during memory retrieval.
format	article
author	Mikael Lundqvist Albert Compte Anders Lansner
author_facet	Mikael Lundqvist Albert Compte Anders Lansner
author_sort	Mikael Lundqvist
title	Bistable, irregular firing and population oscillations in a modular attractor memory network.
title_short	Bistable, irregular firing and population oscillations in a modular attractor memory network.
title_full	Bistable, irregular firing and population oscillations in a modular attractor memory network.
title_fullStr	Bistable, irregular firing and population oscillations in a modular attractor memory network.
title_full_unstemmed	Bistable, irregular firing and population oscillations in a modular attractor memory network.
title_sort	bistable, irregular firing and population oscillations in a modular attractor memory network.
publisher	Public Library of Science (PLoS)
publishDate	2010
url	https://doaj.org/article/b3d3d90a91cc420aa1ab103e709ffb56
work_keys_str_mv	AT mikaellundqvist bistableirregularfiringandpopulationoscillationsinamodularattractormemorynetwork AT albertcompte bistableirregularfiringandpopulationoscillationsinamodularattractormemorynetwork AT anderslansner bistableirregularfiringandpopulationoscillationsinamodularattractormemorynetwork
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Bistable, irregular firing and population oscillations in a modular attractor memory network.

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