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Correlations induced by depressing synapses in critically self-organized networks with quenched dynamics

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Author(s):
Ferreira Campos, Joao Guilherme ; Costa, Ariadne de Andrade ; Copelli, Mauro ; Kinouchi, Osame
Total Authors: 4
Document type: Journal article
Source: PHYSICAL REVIEW E; v. 95, n. 4, p. 8-pg., 2017-04-10.
Abstract

In a recent work, mean-field analysis and computer simulations were employed to analyze critical selforganization in networks of excitable cellular automata where randomly chosen synapses in the network were depressed after each spike (the so-called annealed dynamics). Calculations agree with simulations of the annealed version, showing that the nominal branching ratio sigma converges to unity in the thermodynamic limit, as expected of a self-organized critical system. However, the question remains whether the same results apply to the biological case where only the synapses of firing neurons are depressed (the so-called quenched dynamics). We show that simulations of the quenched model yield significant deviations from sigma = 1 due to spatial correlations. However, the model is shown to be critical, as the largest eigenvalue of the synaptic matrix approaches unity in the thermodynamic limit, that is, lambda(c) = 1. We also study the finite size effects near the critical state as a function of the parameters of the synaptic dynamics. (AU)

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: 16/00430-3 - Computational simulations of stochastic integrate-and-fire neurons balanced networks
Grantee:Ariadne de Andrade Costa
Support Opportunities: Scholarships in Brazil - Post-Doctoral
FAPESP's process: 16/20945-8 - Impact of Connection Topology on the Dynamics of Stochastic Integrate-and-Fire Neuronal Network
Grantee:Ariadne de Andrade Costa
Support Opportunities: Scholarships abroad - Research Internship - Post-doctor