期刊
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
卷 387, 期 7, 页码 1455-1463出版社
ELSEVIER
DOI: 10.1016/j.physa.2007.10.062
关键词
nonlinear diffusion; stochastic partial differential equations; neurons
We consider a general nonlinear diffusion, typified by those deriving from Fitzhugh-Nagumo or Hindmarsh-Rose models of nerve-cell dynamics, perturbed also by 2-parameter white noise. In order to investigate the effects of the nonlinearity, we find for general boundary conditions the mean to order is an element of(2) and the four-point covariance to order is an element of(3). The derivations involve multiple stochastic integrals in the plane. The mean and variance of the state variable are thus obtained and may be used to estimate the probabilities that a threshold value is exceeded as a function of space and time. A numerical example is given for a space-time white-noise driven diffusion with a cubic nonlinearity. From the asymptotic form of the covariance the spectral density of the process can also be obtained. (c) 2007 Elsevier B.V. All rights reserved.
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