Double Coherence Resonance in Neuron Models Driven by Discrete Correlated Noise

Thomas Kreuz, Stefano Luccioli, and Alessandro Torcini
Phys. Rev. Lett. 97, 238101 – Published 6 December 2006

Abstract

We study the influence of correlations among discrete stochastic excitatory or inhibitory inputs on the response of the FitzHugh-Nagumo neuron model. For any level of correlation, the emitted signal exhibits at some finite noise intensity a maximal degree of regularity, i.e., a coherence resonance. Furthermore, for either inhibitory or excitatory correlated stimuli, a double coherence resonance is observable. Double coherence resonance refers to a (absolute) maximum coherence in the output occurring for an optimal combination of noise variance and correlation. All of these effects can be explained by taking advantage of the discrete nature of the correlated inputs.

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  • Received 12 June 2006

DOI:https://doi.org/10.1103/PhysRevLett.97.238101

©2006 American Physical Society

Authors & Affiliations

Thomas Kreuz1,*, Stefano Luccioli1,2, and Alessandro Torcini1,2

  • 1Istituto dei Sistemi Complessi-CNR, Sesto Fiorentino, Italy
  • 2Istituto Nazionale di Fisica Nucleare, Unitá di Firenze, Sesto Fiorentino, Italy

  • *Electronic address: thomas.kreuz@fi.isc.cnr.it

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Issue

Vol. 97, Iss. 23 — 8 December 2006

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