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• W2073566615 abstract "We study the effects of noise on stationary pulse solutions (bumps) in spatially extended neural fields. The dynamics of a neural field is described by an integrodifferential equation whose integral term characterizes synaptic interactions between neurons in different spatial locations of the network. Translationally symmetric neural fields support a continuum of stationary bump solutions, which may be centered at any spatial location. Random fluctuations are introduced by modeling the system as a spatially extended Langevin equation whose noise term we take to be multiplicative or additive. For nonzero noise, these bumps are shown to wander about the domain in a purely diffusive way. We can approximate the effective diffusion coefficient using a small noise expansion. Upon breaking the (continuous) translation symmetry of the system using a spatially heterogeneous inputs or synapses, bumps in the stochastic neural field can become temporarily pinned to a finite number of locations in the network. In the case of spatially heterogeneous synaptic weights, as the modulation frequency of this heterogeneity increases, the effective diffusion of bumps in the network approaches that of the network with spatially homogeneous weights." @default.
• W2073566615 created "2016-06-24" @default.
• W2073566615 creator A5041060587 @default.
• W2073566615 creator A5058007553 @default.
• W2073566615 date "2012-05-14" @default.
• W2073566615 modified "2023-09-27" @default.
• W2073566615 title "Wandering bumps in stochastic neural fields" @default.
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• W2073566615 hasPublicationYear "2012" @default.
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