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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Subsampled Directed-Percolation Models Explain Scaling Relations Experimentally Observed in the Brain

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Author(s):
Carvalho, Tawan T. A. [1] ; Fontenele, Antonio J. [1] ; Girardi-Schappo, Mauricio [2, 3] ; Feliciano, Thais [1] ; Aguiar, Leandro A. A. [4] ; Silva, Thais P. L. [1] ; de Vasconcelos, Nivaldo A. P. [5, 6] ; Carelli, Pedro V. [1] ; Copelli, Mauro [1]
Total Authors: 9
Affiliation:
[1] Univ Fed Pernambuco, Dept Fis, Recife, PE - Brazil
[2] Univ Sao Paulo, Fac Filosofia Ciencias & Letras Ribeirao Preto, Dept Fis, Ribeirao Preto - Brazil
[3] Univ Ottawa, Dept Phys, Ottawa, ON - Canada
[4] Univ Fed Paraiba, Dept Ciencias Fundamentais & Sociais, Areia - Brazil
[5] Univ Minho, Life & Hlth Sci Res Inst ICVS, Sch Med, Braga - Portugal
[6] Life & Hlth Sci Res Inst Biomat Biodegradables &, Braga - Portugal
Total Affiliations: 6
Document type: Journal article
Source: FRONTIERS IN NEURAL CIRCUITS; v. 14, JAN 15 2021.
Web of Science Citations: 1
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. (AU)

FAPESP's process: 18/09150-9 - Stochastic and/or computational modeling of the brain functioning
Grantee:Mauricio Girardi Schappo
Support Opportunities: Scholarships in Brazil - Post-Doctoral
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