Bistable perception modeled as competing stochastic integrations at two levels.

We propose a novel explanation for bistable perception, namely, the collective dynamics of multiple neural populations that are individually meta-stable. Distributed representations of sensory input and of perceptual state build gradually through noise-driven transitions in these populations, until...

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Autores principales:	Guido Gigante, Maurizio Mattia, Jochen Braun, Paolo Del Giudice
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2009
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/494855c47d8448ec90ff5a9c5d1e8100
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id	oai:doaj.org-article:494855c47d8448ec90ff5a9c5d1e8100
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spelling	oai:doaj.org-article:494855c47d8448ec90ff5a9c5d1e81002021-11-25T05:42:18ZBistable perception modeled as competing stochastic integrations at two levels.1553-734X1553-735810.1371/journal.pcbi.1000430https://doaj.org/article/494855c47d8448ec90ff5a9c5d1e81002009-07-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19593372/pdf/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358We propose a novel explanation for bistable perception, namely, the collective dynamics of multiple neural populations that are individually meta-stable. Distributed representations of sensory input and of perceptual state build gradually through noise-driven transitions in these populations, until the competition between alternative representations is resolved by a threshold mechanism. The perpetual repetition of this collective race to threshold renders perception bistable. This collective dynamics - which is largely uncoupled from the time-scales that govern individual populations or neurons - explains many hitherto puzzling observations about bistable perception: the wide range of mean alternation rates exhibited by bistable phenomena, the consistent variability of successive dominance periods, and the stabilizing effect of past perceptual states. It also predicts a number of previously unsuspected relationships between observable quantities characterizing bistable perception. We conclude that bistable perception reflects the collective nature of neural decision making rather than properties of individual populations or neurons.Guido GiganteMaurizio MattiaJochen BraunPaolo Del GiudicePublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 5, Iss 7, p e1000430 (2009)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Guido Gigante Maurizio Mattia Jochen Braun Paolo Del Giudice Bistable perception modeled as competing stochastic integrations at two levels.
description	We propose a novel explanation for bistable perception, namely, the collective dynamics of multiple neural populations that are individually meta-stable. Distributed representations of sensory input and of perceptual state build gradually through noise-driven transitions in these populations, until the competition between alternative representations is resolved by a threshold mechanism. The perpetual repetition of this collective race to threshold renders perception bistable. This collective dynamics - which is largely uncoupled from the time-scales that govern individual populations or neurons - explains many hitherto puzzling observations about bistable perception: the wide range of mean alternation rates exhibited by bistable phenomena, the consistent variability of successive dominance periods, and the stabilizing effect of past perceptual states. It also predicts a number of previously unsuspected relationships between observable quantities characterizing bistable perception. We conclude that bistable perception reflects the collective nature of neural decision making rather than properties of individual populations or neurons.
format	article
author	Guido Gigante Maurizio Mattia Jochen Braun Paolo Del Giudice
author_facet	Guido Gigante Maurizio Mattia Jochen Braun Paolo Del Giudice
author_sort	Guido Gigante
title	Bistable perception modeled as competing stochastic integrations at two levels.
title_short	Bistable perception modeled as competing stochastic integrations at two levels.
title_full	Bistable perception modeled as competing stochastic integrations at two levels.
title_fullStr	Bistable perception modeled as competing stochastic integrations at two levels.
title_full_unstemmed	Bistable perception modeled as competing stochastic integrations at two levels.
title_sort	bistable perception modeled as competing stochastic integrations at two levels.
publisher	Public Library of Science (PLoS)
publishDate	2009
url	https://doaj.org/article/494855c47d8448ec90ff5a9c5d1e8100
work_keys_str_mv	AT guidogigante bistableperceptionmodeledascompetingstochasticintegrationsattwolevels AT mauriziomattia bistableperceptionmodeledascompetingstochasticintegrationsattwolevels AT jochenbraun bistableperceptionmodeledascompetingstochasticintegrationsattwolevels AT paolodelgiudice bistableperceptionmodeledascompetingstochasticintegrationsattwolevels
_version_	1718414514903318528

Bistable perception modeled as competing stochastic integrations at two levels.

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