Open AccessFitz hugh-nagumo neural system driven by colored noises
Author(s) -
Chaoqing Wang,
Weiya Xu,
Zhang Na-Min,
Li Hai-Quan
Publication year - 2008
Publication title -
wuli xuebao
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.