Fitz hugh-nagumo neural system driven by colored noises | Zendy

Chaoqing Wang | Zendy; Fei Xu | Zendy; Zhang Na-Min | Zendy; Li Hai-Quan | Zendy

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Fitz hugh-nagumo neural system driven by colored noises

Author(s) -

Chaoqing Wang,

Fei Xu,

Zhang Na-Min,

Li Hai-Quan

Publication year - 2008

Publication title -

acta physica sinica

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.199

H-Index - 47

ISSN - 1000-3290

DOI - 10.7498/aps.57.749

Subject(s) - colored , statistical physics , phase (matter) , stationary distribution , distribution (mathematics) , physics , neural system , computer science , mathematics , mathematical analysis , materials science , quantum mechanics , neuroscience , psychology , composite material , machine learning , markov chain

We investigated the phase transition and the mean first-passage time of a Fitz hugh-nagumo neural system driven by colored noises, and the expressions of the stationary probability distribution and the mean first-passage time were obtained. The conclusions show that the parameters α,τ and β can induce phase transition, and there is a locking phenomenon in the system. Each parameter affects the system's mean first-passage time quite differently.

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