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Scale-Change Symmetry in the Rules Governing Neural Systems

Similar universal phenomena can emerge in different complex systems when those systems share a common symmetry in their governing laws. In physical systems operating near a critical phase transition, the governing physical laws obey a fractal symmetry; they are the same whether considered at fine or...

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Autores principales: Agrawal, Vidit, Chakraborty, Srimoy, Knöpfel, Thomas, Shew, Woodrow L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352707/
https://www.ncbi.nlm.nih.gov/pubmed/30682624
http://dx.doi.org/10.1016/j.isci.2019.01.009
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author Agrawal, Vidit
Chakraborty, Srimoy
Knöpfel, Thomas
Shew, Woodrow L.
author_facet Agrawal, Vidit
Chakraborty, Srimoy
Knöpfel, Thomas
Shew, Woodrow L.
author_sort Agrawal, Vidit
collection PubMed
description Similar universal phenomena can emerge in different complex systems when those systems share a common symmetry in their governing laws. In physical systems operating near a critical phase transition, the governing physical laws obey a fractal symmetry; they are the same whether considered at fine or coarse scales. This scale-change symmetry is responsible for universal critical phenomena found across diverse systems. Experiments suggest that the cerebral cortex can also operate near a critical phase transition. Thus we hypothesize that the laws governing cortical dynamics may obey scale-change symmetry. Here we develop a practical approach to test this hypothesis. We confirm, using two different computational models, that neural dynamical laws exhibit scale-change symmetry near a dynamical phase transition. Moreover, we show that as a mouse awakens from anesthesia, scale-change symmetry emerges. Scale-change symmetry of the rules governing cortical dynamics may explain observations of similar critical phenomena across diverse neural systems.
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spelling pubmed-63527072019-02-05 Scale-Change Symmetry in the Rules Governing Neural Systems Agrawal, Vidit Chakraborty, Srimoy Knöpfel, Thomas Shew, Woodrow L. iScience Article Similar universal phenomena can emerge in different complex systems when those systems share a common symmetry in their governing laws. In physical systems operating near a critical phase transition, the governing physical laws obey a fractal symmetry; they are the same whether considered at fine or coarse scales. This scale-change symmetry is responsible for universal critical phenomena found across diverse systems. Experiments suggest that the cerebral cortex can also operate near a critical phase transition. Thus we hypothesize that the laws governing cortical dynamics may obey scale-change symmetry. Here we develop a practical approach to test this hypothesis. We confirm, using two different computational models, that neural dynamical laws exhibit scale-change symmetry near a dynamical phase transition. Moreover, we show that as a mouse awakens from anesthesia, scale-change symmetry emerges. Scale-change symmetry of the rules governing cortical dynamics may explain observations of similar critical phenomena across diverse neural systems. Elsevier 2019-01-08 /pmc/articles/PMC6352707/ /pubmed/30682624 http://dx.doi.org/10.1016/j.isci.2019.01.009 Text en © 2019 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Agrawal, Vidit
Chakraborty, Srimoy
Knöpfel, Thomas
Shew, Woodrow L.
Scale-Change Symmetry in the Rules Governing Neural Systems
title Scale-Change Symmetry in the Rules Governing Neural Systems
title_full Scale-Change Symmetry in the Rules Governing Neural Systems
title_fullStr Scale-Change Symmetry in the Rules Governing Neural Systems
title_full_unstemmed Scale-Change Symmetry in the Rules Governing Neural Systems
title_short Scale-Change Symmetry in the Rules Governing Neural Systems
title_sort scale-change symmetry in the rules governing neural systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6352707/
https://www.ncbi.nlm.nih.gov/pubmed/30682624
http://dx.doi.org/10.1016/j.isci.2019.01.009
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