Underlying neural computations for some visual phenomena
- 1 December 1988
- journal article
- conference paper
- Published by Springer Nature in Biological Cybernetics
- Vol. 60 (2) , 89-106
- https://doi.org/10.1007/bf00202896
Abstract
In this paper we examine how a large array of neurons, and their associated neural circuitry, may determine known receptive field profile types and some well-known visual phenomena including Mach bands, edge enhancement, and visual masking of one signal by another. The neural model has a spatio-temporal structure and is described by a nonlinear integropartial differential difference equation with an isotropic Gabor kernel — a Gaussian apertured cosine modulation. Several simulations are presented.This publication has 36 references indexed in Scilit:
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