Scale-Change Symmetry in the Rules Governing Neural Systems
Summary: 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 a...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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Elsevier
2019-02-01
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Series: | iScience |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2589004219300094 |
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author | Vidit Agrawal Srimoy Chakraborty Thomas Knöpfel Woodrow L. Shew |
author_facet | Vidit Agrawal Srimoy Chakraborty Thomas Knöpfel Woodrow L. Shew |
author_sort | Vidit Agrawal |
collection | DOAJ |
description | Summary: 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. : Statistical Mechanics; Systems Neuroscience; Mathematical Biosciences Subject Areas: Statistical Mechanics, Systems Neuroscience, Mathematical Biosciences |
first_indexed | 2024-12-14T12:03:44Z |
format | Article |
id | doaj.art-f1f4a7c056a74b9abb1027cdb5ae0e20 |
institution | Directory Open Access Journal |
issn | 2589-0042 |
language | English |
last_indexed | 2024-12-14T12:03:44Z |
publishDate | 2019-02-01 |
publisher | Elsevier |
record_format | Article |
series | iScience |
spelling | doaj.art-f1f4a7c056a74b9abb1027cdb5ae0e202022-12-21T23:01:56ZengElsevieriScience2589-00422019-02-0112121131Scale-Change Symmetry in the Rules Governing Neural SystemsVidit Agrawal0Srimoy Chakraborty1Thomas Knöpfel2Woodrow L. Shew3Department of Physics, University of Arkansas, Fayetteville, AR 72701, USADepartment of Physics, University of Arkansas, Fayetteville, AR 72701, USALaboratory for Neuronal Circuit Dynamics, Faculty of Medicine Imperial College London, London W12 0NN, UK; Centre for Neurotechnology, Institute of Biomedical Engineering, Imperial College London, London SW7 2AZ, UKDepartment of Physics, University of Arkansas, Fayetteville, AR 72701, USA; Corresponding authorSummary: 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. : Statistical Mechanics; Systems Neuroscience; Mathematical Biosciences Subject Areas: Statistical Mechanics, Systems Neuroscience, Mathematical Bioscienceshttp://www.sciencedirect.com/science/article/pii/S2589004219300094 |
spellingShingle | Vidit Agrawal Srimoy Chakraborty Thomas Knöpfel Woodrow L. Shew Scale-Change Symmetry in the Rules Governing Neural Systems iScience |
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 |
url | http://www.sciencedirect.com/science/article/pii/S2589004219300094 |
work_keys_str_mv | AT viditagrawal scalechangesymmetryintherulesgoverningneuralsystems AT srimoychakraborty scalechangesymmetryintherulesgoverningneuralsystems AT thomasknopfel scalechangesymmetryintherulesgoverningneuralsystems AT woodrowlshew scalechangesymmetryintherulesgoverningneuralsystems |