Fosque, Leandro J.Williams-García , Rashid V.Beggs, John M.Oritz, Gerardo2024-08-122024-08-122021Fosque LJ, Williams-García RV, Beggs JM, Ortiz G. Evidence for Quasicritical Brain Dynamics. Phys Rev Lett. 2021;126(9):098101. doi:10.1103/PhysRevLett.126.098101https://hdl.handle.net/1805/42725Much 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.en-USPublisher PolicyBiological neural networksDynamical phase transitionsSelf-organized systemsArticle