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- W2032912017 abstract "Abstract I present an approximation method that reduces the spatio-temporal dynamics of localized solutions (also called “bumps”) in d -dimensional, n -layer nonlinear neural field equations to a set of ordinary differential equations for just the amplitudes and tuning widths of the activation peaks. This enables a simplified analysis of spatio-temporal point spread functions, steady-state receptive fields, and their stability properties. The lowest order approximation for the amplitudes alone is equivalent to meanfield equations for homogeneously coupled pools of Poissonian neurons. Thus, much of the behavior of small neural systems should carry over to localized solutions in spatially extended neural fields." @default.
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- W2032912017 date "2002-06-01" @default.
- W2032912017 modified "2023-09-27" @default.
- W2032912017 title "Nonlinear analysis of spatio-temporal receptive fields: I. Dynamic approximation method" @default.
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- W2032912017 doi "https://doi.org/10.1016/s0925-2312(02)00392-2" @default.
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