Neural Fields Models of Visual Areas: Principles, Successes, and Caveats

Olivier Faugeras

Abstract. I discuss how the notion of neural fields, a phenomenological averaged description of spatially distributed populations of neurons, can be used to build models of how visual information is represented and processed in the visual areas of primates. I describe one of the basic principles of operation of these neural fields equations which is closely connected to the idea of a bifurcation of their solutions. I then apply this concept to several visual features, edges, textures and motion and show that it can account very simply for a number of experimental facts as well as suggest new experiments.

LNCS 7583, p. 474 ff.

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