title: Underlying neural computations for some visual phenomena.
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.
authors.affiliation: Department of Mathematics, University of Alberta, Edmonton, Canada.
authors.forename: M N
authors.initials: MN
authors.lastname: Oğuztöreli
authors.forename: G M
authors.initials: GM
authors.lastname: Steil
authors.forename: T M
authors.initials: TM
authors.lastname: Caelli
mesh_terms: D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D009474:Neurons / Q000502:physiology*; D010470:Perceptual Masking / Q000502:physiology; D014796:Visual Perception / Q000502:physiology*