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Signatures of brain criticality unveiled by maximum entropy analysis across cortical states

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Author(s):
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Lotfi, Nastaran ; Fontenele, Antonio J. ; Feliciano, Thais ; Aguiar, Leandro A. A. ; de Vasconcelos, Nivaldo A. P. ; Soares-Cunha, Carina ; Coimbra, Barbara ; Rodrigues, Ana Joao ; Sousa, Nuno ; Copelli, Mauro ; Carelli, Pedro, V
Total Authors: 11
Document type: Journal article
Source: PHYSICAL REVIEW E; v. 102, n. 1, p. 9-pg., 2020-07-27.
Abstract

It has recently been reported that statistical signatures of brain criticality, obtained from distributions of neuronal avalanches, can depend on the cortical state. We revisit these claims with a completely different and independent approach, employing a maximum entropy model to test whether signatures of criticality appear in urethane-anesthetized rats. To account for the spontaneous variation of cortical states, we parse the time series and perform the maximum entropy analysis as a function of the variability of the population spiking activity. To compare data sets with different numbers of neurons, we define a normalized distance to criticality that takes into account the peak and width of the specific heat curve. We found a universal collapse of the normalized distance to criticality dependence on the cortical state, on an animal by animal basis. This indicates a universal dynamics and a critical point at an intermediate value of spiking variability. (AU)

FAPESP's process: 13/07699-0 - Research, Innovation and Dissemination Center for Neuromathematics - NeuroMat
Grantee:Oswaldo Baffa Filho
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC