Intertangled stochastic motifs in networks of excitatory-inhibitory units
Disordered Systems and Neural Networks
2017-08-16 v1 Statistical Mechanics
Adaptation and Self-Organizing Systems
Neurons and Cognition
Abstract
A stochastic model of excitatory and inhibitory interactions which bears universality traits is introduced and studied. The endogenous component of noise, stemming from finite size corrections, drives robust inter-nodes correlations, that persist at large large distances. Anti-phase synchrony at small frequencies is resolved on adjacent nodes and found to promote the spontaneous generation of long-ranged stochastic patterns, that invade the network as a whole. These patterns are lacking under the idealized deterministic scenario, and could provide novel hints on how living systems implement and handle a large gallery of delicate computational tasks.
Keywords
Cite
@article{arxiv.1703.04117,
title = {Intertangled stochastic motifs in networks of excitatory-inhibitory units},
author = {Clement Zankoc and Duccio Fanelli and Francesco Ginelli and Roberto Livi},
journal= {arXiv preprint arXiv:1703.04117},
year = {2017}
}
Comments
Movies of the stochastic dynamics are made available upon request