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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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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. |
format | Online Article Text |
id | pubmed-7514988 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT moyalroy dynamiccomputationinvisualthalamocorticalnetworks AT edelmanshimon dynamiccomputationinvisualthalamocorticalnetworks |