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

• Published in: arXiv.org
• Main Authors: Lotfi, Nastaran, Fontenele, Antonio J, Feliciano, Thaís, Aguiar, Leandro A A, Nivaldo A P de Vasconcelos, Soares-Cunha, Carina, Coimbra, Bárbara, Ana João Rodrigues, Sousa, Nuno, Copelli, Mauro, Carelli, Pedro V
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 29.01.2020
• Subjects: Avalanches; Brain; Collapse; Critical point; Entropy; Maximum entropy; Model testing; Physics - Biological Physics; Quantitative Biology - Neurons and Cognition; Signatures; Spiking; Variability
• ISSN: 2331-8422
• DOI: 10.48550/arxiv.2001.11080

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 state, 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 number of neurons, we define a normalized distance to criticality that takes into account the peak and width of the specific heat curve. We found an 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.