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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2016
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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 |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-4802746 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT meiselchristian linkingcorticalnetworksynchronyandexcitability |