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...

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Bibliographic Details
Main Authors: Vidit Agrawal, Srimoy Chakraborty, Thomas Knöpfel, Woodrow L. Shew
Format: Article
Language:English
Published: Elsevier 2019-02-01
Series:iScience
Online Access:http://www.sciencedirect.com/science/article/pii/S2589004219300094
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Summary: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
ISSN:2589-0042