| Texto completo | |
| Autor(es): |
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]
Número total de Autores: 9
|
| Afiliação do(s) autor(es): | [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
Número total de Afiliações: 6
|
| Tipo de documento: | Artigo Científico |
| Fonte: | FRONTIERS IN NEURAL CIRCUITS; v. 14, JAN 15 2021. |
| Citações Web of Science: | 1 |
| Resumo | |
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) | |
| Processo FAPESP: | 18/09150-9 - Modelagem estocástica e/ou computacional do funcionamento do cérebro |
| Beneficiário: | Mauricio Girardi Schappo |
| Modalidade de apoio: | Bolsas no Brasil - Pós-Doutorado |
| Processo FAPESP: | 13/07699-0 - Centro de Pesquisa, Inovação e Difusão em Neuromatemática - NeuroMat |
| Beneficiário: | Oswaldo Baffa Filho |
| Modalidade de apoio: | Auxílio à Pesquisa - Centros de Pesquisa, Inovação e Difusão - CEPIDs |