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Effects of time delay and non-Gaussian noise on the dynamics of a perceptual bistability. (English) Zbl 1539.60077

Summary: In this paper, we investigate the effects of time delay and non-Gaussian noise on the dynamics properties of the attractor network model of perceptual bistability. Using delay Fokker-Planck equation and projection operator method, the stationary probability distribution \(P_{st}(x)\), the associated relaxation time \(T_c\), and the normalized correlation function \(C(s)\) for perceptual bistability are obtained, respectively. Research results show that: (i) the time delay \(\tau\) and the correlation time \(\tau_0\) from non-Gaussian noise can induce the change of the peaks in the \(P_{st}(x)\), i.e., the transition of the system appears; (ii) there exhibits an optimal value of the \(\tau_0\) or \(\tau\) by which the \(T_c\) or \(C(s)\) is maximum, this maximum shows the \(\tau_0\) or \(\tau\) first reduces the stability of the attractor network model of perceptual bistability in the steady state, and then enhances it; and (iii) the noise intensity \(P\) or departure \(q\) from the Gaussian noise only enhances the stability of the attractor network model of perceptual bistability in the steady state.

MSC:

60H15 Stochastic partial differential equations (aspects of stochastic analysis)
60H40 White noise theory
82C31 Stochastic methods (Fokker-Planck, Langevin, etc.) applied to problems in time-dependent statistical mechanics
35Q84 Fokker-Planck equations
93E15 Stochastic stability in control theory
Full Text: DOI

References:

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