Intertangled stochastic motifs in networks of excitatory-inhibitory units

Clement Zankoc, Duccio Fanelli, Francesco Ginelli, Roberto Livi

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)
10 Downloads (Pure)


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.
Original languageEnglish
Article number022308
Number of pages8
JournalPhysical Review. E, Statistical, Nonlinear and Soft Matter Physics
Issue number2
Early online date11 Aug 2017
Publication statusPublished - Aug 2017

Bibliographical note

We have benefited from discussions with A. Politi. The authors acknowledge financial support from H2020- MSCA-ITN-2015 project COSMOS 642563.


Dive into the research topics of 'Intertangled stochastic motifs in networks of excitatory-inhibitory units'. Together they form a unique fingerprint.

Cite this