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Intertangled stochastic motifs in networks of excitatory-inhibitory units

2017/03/12 by Clément Zankoc, Clement Zankoc, Duccio Fanelli +2 · 7 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · Neuroscience · Physics and Astronomy · #Biological system #Biology #Component (thermodynamics) #Computer science #Excitatory postsynaptic potential #Inhibitory postsynaptic potential #Mathematics #Neural dynamics and brain function #Neuroscience #Nonlinear Dynamics and Pattern Formation #Physics #Statistical physics #Statistics #Stochastic modelling #Stochastic process #Universality (dynamical systems) #cond-mat.dis-nn #cond-mat.stat-mech #nlin.AO #q-bio.NC #stochastic dynamics and bifurcation

paper · pdf · doi:10.1103/physreve.96.022308

published in Physical review. E 96(2), 022308 (American Physical Society) · Movies of the stochastic dynamics are made available upon request

arxiv created 2017/03/12 · openalex publication_date 2017/08/11 · arxiv updated 2017/08/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

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 internode correlations that persist at large distances. Antiphase 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 hints on how living systems implement and handle a large gallery of delicate computational tasks.

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