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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.)

Mechanisms of Self-Organized Quasicriticality in Neuronal Network Models

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Kinouchi, Osame [1] ; Pazzini, Renata [1] ; Copelli, Mauro [2]
Total Authors: 3
[1] Univ Sao Paulo, Lab Fis Estat & Biol Computac, Fac Filosofia Ciencias & Letras Ribeirao Preto, Dept Fis, Ribeirao Preto - Brazil
[2] Univ Fed Pernambuco, Dept Fis, Recife, PE - Brazil
Total Affiliations: 2
Document type: Review article
Source: FRONTIERS IN PHYSICS; v. 8, DEC 23 2020.
Web of Science Citations: 1

The critical brain hypothesis states that there are information processing advantages for neuronal networks working close to the critical region of a phase transition. If this is true, we must ask how the networks achieve and maintain this critical state. Here, we review several proposed biological mechanisms that turn the critical region into an attractor of a dynamics in network parameters like synapses, neuronal gains, and firing thresholds. Since neuronal networks (biological and models) are not conservative but dissipative, we expect not exact criticality but self-organized quasicriticality, where the system hovers around the critical point. (AU)

FAPESP's process: 19/12746-3 - Phase transitions in neuroscience
Grantee:Osame Kinouchi Filho
Support Opportunities: Scholarships abroad - Research
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
FAPESP's process: 18/20277-0 - Computational and systems neuroscience
Grantee:Antonio Carlos Roque da Silva Filho
Support Opportunities: Regular Research Grants