Multiplicative-noise-induced coherence resonance via two different mechanisms in bistable neural models

Jun Tang, Ya Jia, Ming Yi, Jun Ma, and Jiarong Li
Phys. Rev. E 77, 061905 – Published 6 June 2008

Abstract

The bistable FitzHugh-Nagumo (FHN) neural model driven by two multiplicative noises and one additive noise is investigated. Two different potential mechanisms for enhancing coherence of bistable FHN model are presented, that is, the first multiplicative noise changes the system from the bistable to the oscillatory regime, and the second multiplicative noise can enhance the symmetry of two stable states of the system. The two mechanisms are analytically or numerically explained. At any level of the second multiplicative noise, a maximal coherence have been found at some intermediate noise intensity of the first multiplicative noise. Only when the first multiplicative noise intensity is less than 0.0001 can a maximal coherence be obtained at some intermediate noise intensity of the second multiplicative noise. These coherence resonance phenomena have been understood in terms of the presented mechanisms.

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  • Received 24 October 2007

DOI:https://doi.org/10.1103/PhysRevE.77.061905

©2008 American Physical Society

Authors & Affiliations

Jun Tang1,2, Ya Jia1,*, Ming Yi1, Jun Ma1, and Jiarong Li1

  • 1Department of Physics and Institute of Biophysics, Huazhong Normal University, Wuhan 430079, China
  • 2College of Science, China University of Mining and Technology, Xuzhou 221008, China

  • *Corresponding author. jiay@phy.ccnu.edu.cn

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Vol. 77, Iss. 6 — June 2008

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