Author:
Carvalho Tawan T. A.,Fontenele Antonio J.,Girardi-Schappo Mauricio,Feliciano Thaís,Aguiar Leandro A. A.,Silva Thais P. L.,de Vasconcelos Nivaldo A. P.,Carelli Pedro V.,Copelli Mauro
Abstract
Recent experimental results on spike avalanches measured in the urethane-anesthetized rat cortex have revealed scaling relations that indicate a phase transition at a specific level of cortical firing rate variability. The scaling relations point to critical exponents whose values differ from those of a branching process, which has been the canonical model employed to understand brain criticality. This suggested that a different model, with a different phase transition, might be required to explain the data. Here we show that this is not necessarily the case. By employing two different models belonging to the same universality class as the branching process (mean-field directed percolation) and treating the simulation data exactly like experimental data, we reproduce most of the experimental results. We find that subsampling the model and adjusting the time bin used to define avalanches (as done with experimental data) are sufficient ingredients to change the apparent exponents of the critical point. Moreover, experimental data is only reproduced within a very narrow range in parameter space around the phase transition.
Funder
Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
Universidade Federal de Pernambuco
Fundação de Amparo à Pesquisa do Estado de São Paulo
Subject
Cellular and Molecular Neuroscience,Cognitive Neuroscience,Sensory Systems,Neuroscience (miscellaneous)
Cited by
35 articles.
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