Multiplicative-noise-induced coherence resonance via two different mechanisms in bistable neural models.
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.
Tang
Jun
J
Department of Physics and Institute of Biophysics, Huazhong Normal University, Wuhan 430079, China.
Jia
Ya
Y
Yi
Ming
M
Ma
Jun
J
Li
Jiarong
J
D000818:Animals; D001703:Biophysics / Q000379:methods; D003198:Computer Simulation; D004553:Electric Conductivity; D008959:Models, Neurological; D015233:Models, Statistical; D008962:Models, Theoretical; D009474:Neurons / Q000378:metabolism*; D016011:Normal Distribution; D009991:Oscillometry; D017785:Photons; D015203:Reproducibility of Results; D013997:Time Factors