Scale-change symmetry in the rules governing neural systems
File(s)
Author(s)
Agrawal, Vidit
Chakraborty, Srimoy
Knöpfel, Thomas
Shew, Woodrow L
Type
Journal Article
Abstract
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.
Date Issued
2019-02-22
Date Acceptance
2019-01-04
Citation
iScience, 2019, 12, pp.121-131
ISSN
2589-0042
Publisher
Elsevier (Cell Press)
Start Page
121
End Page
131
Journal / Book Title
iScience
Volume
12
Copyright Statement
© 2019 The Author(s).This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/30682624
PII: S2589-0042(19)30009-4
Subjects
Mathematical Biosciences
Statistical Mechanics
Systems Neuroscience
Publication Status
Published
Coverage Spatial
United States
Date Publish Online
2019-01-08