Evidence for Quasicritical Brain Dynamics
Autor: | Rashid V. Williams-García, Gerardo Ortiz, Leandro Fosque, John M. Beggs |
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Rok vydání: | 2021 |
Předmět: |
Organizing principle
Models Neurological FOS: Physical sciences General Physics and Astronomy Absolute value Stimulus (physiology) 01 natural sciences Critical point (thermodynamics) 0103 physical sciences Physics - Biological Physics Statistical physics 010306 general physics Set (psychology) Physics Stochastic Processes Stochastic process Brain Disordered Systems and Neural Networks (cond-mat.dis-nn) Condensed Matter - Disordered Systems and Neural Networks Renormalization group Physics - Medical Physics Nonlinear Sciences - Adaptation and Self-Organizing Systems Biological Physics (physics.bio-ph) Medical Physics (physics.med-ph) Adaptation and Self-Organizing Systems (nlin.AO) Critical exponent |
Zdroj: | Physical Review Letters. 126 |
ISSN: | 1079-7114 0031-9007 |
Popis: | Much evidence seems to suggest cortex operates near a critical point, yet a single set of exponents defining its universality class has not been found. In fact, when critical exponents are estimated from data, they widely differ across species, individuals of the same species, and even over time, or depending on stimulus. Interestingly, these exponents still approximately hold to a dynamical scaling relation. Here we show that the theory of quasicriticality, an organizing principle for brain dynamics, can account for this paradoxical situation. As external stimuli drive the cortex, quasicriticality predicts a departure from criticality along a Widom line with exponents that decrease in absolute value, while still holding approximately to a dynamical scaling relation. We use simulations and experimental data to confirm these predictions and describe new ones that could be tested soon. 5 pages, 4 figures |
Databáze: | OpenAIRE |
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