Mechanisms of Self-Organized Quasicriticality in Neuronal Network Models

Frontiers in Physics

Mauro Copelli¹  Osame Kinouchi²  Renata Pazzini² 

[1] Recife, Brazil;Ribeirão Preto, Brazil;

关键词: self-organized criticality;    neuronal avalanches;    self-organization;    neuronal networks;    adaptive networks;    homeostasis;    synaptic depression;    learning;   

DOI  :  10.3389/fphy.2020.583213

来源: Frontiers

【 摘 要 】

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.

【 授权许可】

CC BY