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Linear models of simple cells: Correspondence to real cell responses and space spanning properties

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image of Spatial Vision
For more content, see Multisensory Research and Seeing and Perceiving.

Despite their limitations, linear filter models continue to be used to simulate the receptive field properties of cortical simple cells. For theoreticians interested in large scale models of visual cortex, a family of self-similar filters represents a convenient way in which to characterise simple cells in one basic model. This paper reviews research on the suitability of such models, and goes on to advance biologically motivated reasons for adopting a particular group of models in preference to all others. In particular, the paper describes why the Gabor model, so often used in network simulations, should be dropped in favour of a Cauchy model, both on the grounds of frequency response and mutual filter orthogonality.

Affiliations: 1: Max-Planck Institute for Biological Cybernetics, D-72076 Tübingen, Germany School of Human Movement Studies, University of Queensland, St. Lucia, QLD 4072, Australia


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