Stochastic approximations of perturbed Fredholm Volterra integro-differential equation arising in mathematical neurosciences
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摘要
This paper extends the results of synaptically generated wave propagation through a network of connected excitatory neurons to a continuous model, defined by a Fredholm Volterra integro-differential equation (FVIDE), which includes memory effects of the past in the propagation. Stochastic approximation and numerical simulations are discussed.
论文关键词:Fredholm Volterra integro-differential equation,Euler–Hermite method,Stochastic approximation,Error,Neural network
论文评审过程:Available online 29 September 2006.
论文官网地址:https://doi.org/10.1016/j.amc.2006.07.137