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Dynamic Computation in Visual Thalamocortical Networks

Contemporary neurodynamical frameworks, such as coordination dynamics and winnerless competition, posit that the brain approximates symbolic computation by transitioning between metastable attractive states. This article integrates these accounts with electrophysiological data suggesting that cohere...

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Detalles Bibliográficos
Autores principales: Moyal, Roy, Edelman, Shimon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514988/
https://www.ncbi.nlm.nih.gov/pubmed/33267214
http://dx.doi.org/10.3390/e21050500
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author Moyal, Roy
Edelman, Shimon
author_facet Moyal, Roy
Edelman, Shimon
author_sort Moyal, Roy
collection PubMed
description Contemporary neurodynamical frameworks, such as coordination dynamics and winnerless competition, posit that the brain approximates symbolic computation by transitioning between metastable attractive states. This article integrates these accounts with electrophysiological data suggesting that coherent, nested oscillations facilitate information representation and transmission in thalamocortical networks. We review the relationship between criticality, metastability, and representational capacity, outline existing methods for detecting metastable oscillatory patterns in neural time series data, and evaluate plausible spatiotemporal coding schemes based on phase alignment. We then survey the circuitry and the mechanisms underlying the generation of coordinated alpha and gamma rhythms in the primate visual system, with particular emphasis on the pulvinar and its role in biasing visual attention and awareness. To conclude the review, we begin to integrate this perspective with longstanding theories of consciousness and cognition.
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spelling pubmed-75149882020-11-09 Dynamic Computation in Visual Thalamocortical Networks Moyal, Roy Edelman, Shimon Entropy (Basel) Review Contemporary neurodynamical frameworks, such as coordination dynamics and winnerless competition, posit that the brain approximates symbolic computation by transitioning between metastable attractive states. This article integrates these accounts with electrophysiological data suggesting that coherent, nested oscillations facilitate information representation and transmission in thalamocortical networks. We review the relationship between criticality, metastability, and representational capacity, outline existing methods for detecting metastable oscillatory patterns in neural time series data, and evaluate plausible spatiotemporal coding schemes based on phase alignment. We then survey the circuitry and the mechanisms underlying the generation of coordinated alpha and gamma rhythms in the primate visual system, with particular emphasis on the pulvinar and its role in biasing visual attention and awareness. To conclude the review, we begin to integrate this perspective with longstanding theories of consciousness and cognition. MDPI 2019-05-16 /pmc/articles/PMC7514988/ /pubmed/33267214 http://dx.doi.org/10.3390/e21050500 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Moyal, Roy
Edelman, Shimon
Dynamic Computation in Visual Thalamocortical Networks
title Dynamic Computation in Visual Thalamocortical Networks
title_full Dynamic Computation in Visual Thalamocortical Networks
title_fullStr Dynamic Computation in Visual Thalamocortical Networks
title_full_unstemmed Dynamic Computation in Visual Thalamocortical Networks
title_short Dynamic Computation in Visual Thalamocortical Networks
title_sort dynamic computation in visual thalamocortical networks
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514988/
https://www.ncbi.nlm.nih.gov/pubmed/33267214
http://dx.doi.org/10.3390/e21050500
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