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Binocular rivalry reveals an out-of-equilibrium neural dynamics suited for decision-making
In ambiguous or conflicting sensory situations, perception is often ‘multistable’ in that it perpetually changes at irregular intervals, shifting abruptly between distinct alternatives. The interval statistics of these alternations exhibits quasi-universal characteristics, suggesting a general mecha...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352598/ https://www.ncbi.nlm.nih.gov/pubmed/34369875 http://dx.doi.org/10.7554/eLife.61581 |
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author | Cao, Robin Pastukhov, Alexander Aleshin, Stepan Mattia, Maurizio Braun, Jochen |
author_facet | Cao, Robin Pastukhov, Alexander Aleshin, Stepan Mattia, Maurizio Braun, Jochen |
author_sort | Cao, Robin |
collection | PubMed |
description | In ambiguous or conflicting sensory situations, perception is often ‘multistable’ in that it perpetually changes at irregular intervals, shifting abruptly between distinct alternatives. The interval statistics of these alternations exhibits quasi-universal characteristics, suggesting a general mechanism. Using binocular rivalry, we show that many aspects of this perceptual dynamics are reproduced by a hierarchical model operating out of equilibrium. The constitutive elements of this model idealize the metastability of cortical networks. Independent elements accumulate visual evidence at one level, while groups of coupled elements compete for dominance at another level. As soon as one group dominates perception, feedback inhibition suppresses supporting evidence. Previously unreported features in the serial dependencies of perceptual alternations compellingly corroborate this mechanism. Moreover, the proposed out-of-equilibrium dynamics satisfies normative constraints of continuous decision-making. Thus, multistable perception may reflect decision-making in a volatile world: integrating evidence over space and time, choosing categorically between hypotheses, while concurrently evaluating alternatives. |
format | Online Article Text |
id | pubmed-8352598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-83525982021-08-11 Binocular rivalry reveals an out-of-equilibrium neural dynamics suited for decision-making Cao, Robin Pastukhov, Alexander Aleshin, Stepan Mattia, Maurizio Braun, Jochen eLife Neuroscience In ambiguous or conflicting sensory situations, perception is often ‘multistable’ in that it perpetually changes at irregular intervals, shifting abruptly between distinct alternatives. The interval statistics of these alternations exhibits quasi-universal characteristics, suggesting a general mechanism. Using binocular rivalry, we show that many aspects of this perceptual dynamics are reproduced by a hierarchical model operating out of equilibrium. The constitutive elements of this model idealize the metastability of cortical networks. Independent elements accumulate visual evidence at one level, while groups of coupled elements compete for dominance at another level. As soon as one group dominates perception, feedback inhibition suppresses supporting evidence. Previously unreported features in the serial dependencies of perceptual alternations compellingly corroborate this mechanism. Moreover, the proposed out-of-equilibrium dynamics satisfies normative constraints of continuous decision-making. Thus, multistable perception may reflect decision-making in a volatile world: integrating evidence over space and time, choosing categorically between hypotheses, while concurrently evaluating alternatives. eLife Sciences Publications, Ltd 2021-08-09 /pmc/articles/PMC8352598/ /pubmed/34369875 http://dx.doi.org/10.7554/eLife.61581 Text en © 2021, Cao et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Neuroscience Cao, Robin Pastukhov, Alexander Aleshin, Stepan Mattia, Maurizio Braun, Jochen Binocular rivalry reveals an out-of-equilibrium neural dynamics suited for decision-making |
title | Binocular rivalry reveals an out-of-equilibrium neural dynamics suited for decision-making |
title_full | Binocular rivalry reveals an out-of-equilibrium neural dynamics suited for decision-making |
title_fullStr | Binocular rivalry reveals an out-of-equilibrium neural dynamics suited for decision-making |
title_full_unstemmed | Binocular rivalry reveals an out-of-equilibrium neural dynamics suited for decision-making |
title_short | Binocular rivalry reveals an out-of-equilibrium neural dynamics suited for decision-making |
title_sort | binocular rivalry reveals an out-of-equilibrium neural dynamics suited for decision-making |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8352598/ https://www.ncbi.nlm.nih.gov/pubmed/34369875 http://dx.doi.org/10.7554/eLife.61581 |
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