Evidence for Quasicritical Brain Dynamics

dc.contributor.authorFosque, Leandro J.
dc.contributor.authorWilliams-García , Rashid V.
dc.contributor.authorBeggs, John M.
dc.contributor.authorOritz, Gerardo
dc.contributor.departmentMathematical Sciences, School of Science
dc.date.accessioned2024-08-12T11:05:07Z
dc.date.available2024-08-12T11:05:07Z
dc.date.issued2021
dc.description.abstractMuch evidence seems to suggest the 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.
dc.eprint.versionAuthor's manuscript
dc.identifier.citationFosque LJ, Williams-García RV, Beggs JM, Ortiz G. Evidence for Quasicritical Brain Dynamics. Phys Rev Lett. 2021;126(9):098101. doi:10.1103/PhysRevLett.126.098101
dc.identifier.urihttps://hdl.handle.net/1805/42725
dc.language.isoen_US
dc.publisherAmerican Physical Society
dc.relation.isversionof10.1103/PhysRevLett.126.098101
dc.relation.journalPhysical Review Letters
dc.rightsPublisher Policy
dc.sourceArXiv
dc.subjectBiological neural networks
dc.subjectDynamical phase transitions
dc.subjectSelf-organized systems
dc.titleEvidence for Quasicritical Brain Dynamics
dc.typeArticle
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