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Linking cortical network synchrony and excitability

Theoretical approaches based on dynamical systems theory can provide useful frameworks to guide experiments and analysis techniques when investigating cortical network activity. The notion of phase transitions between qualitatively different kinds of network dynamics has been such a framework inspir...

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Detalles Bibliográficos
Autor principal: Meisel, Christian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4802746/
https://www.ncbi.nlm.nih.gov/pubmed/27065159
http://dx.doi.org/10.1080/19420889.2015.1128598
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author Meisel, Christian
author_facet Meisel, Christian
author_sort Meisel, Christian
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description Theoretical approaches based on dynamical systems theory can provide useful frameworks to guide experiments and analysis techniques when investigating cortical network activity. The notion of phase transitions between qualitatively different kinds of network dynamics has been such a framework inspiring novel approaches to neurophysiological data analysis over the recent years. One particular intriguing hypothesis has been that cortical networks reside in the vicinity of a phase transition. Although the final verdict on this hypothesis is still out, trying to understand cortex dynamics from this viewpoint has recently led to interesting insights on cortical network function with relevance for clinical practice.
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spelling pubmed-48027462016-04-08 Linking cortical network synchrony and excitability Meisel, Christian Commun Integr Biol Article Addendum Theoretical approaches based on dynamical systems theory can provide useful frameworks to guide experiments and analysis techniques when investigating cortical network activity. The notion of phase transitions between qualitatively different kinds of network dynamics has been such a framework inspiring novel approaches to neurophysiological data analysis over the recent years. One particular intriguing hypothesis has been that cortical networks reside in the vicinity of a phase transition. Although the final verdict on this hypothesis is still out, trying to understand cortex dynamics from this viewpoint has recently led to interesting insights on cortical network function with relevance for clinical practice. Taylor & Francis 2016-01-05 /pmc/articles/PMC4802746/ /pubmed/27065159 http://dx.doi.org/10.1080/19420889.2015.1128598 Text en © 2016 The Author(s). Published with license by Taylor & Francis Group, LLC http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-Non-Commercial License http://creativecommons.org/licenses/by-nc/3.0/, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. The moral rights of the named author(s) have been asserted.
spellingShingle Article Addendum
Meisel, Christian
Linking cortical network synchrony and excitability
title Linking cortical network synchrony and excitability
title_full Linking cortical network synchrony and excitability
title_fullStr Linking cortical network synchrony and excitability
title_full_unstemmed Linking cortical network synchrony and excitability
title_short Linking cortical network synchrony and excitability
title_sort linking cortical network synchrony and excitability
topic Article Addendum
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4802746/
https://www.ncbi.nlm.nih.gov/pubmed/27065159
http://dx.doi.org/10.1080/19420889.2015.1128598
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