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Talk Abstract
Cortical Maps: Gradient Relationships and Learning Rules

Nicholas Swindale, Univ. British Columbia

Mammalian visual cortices contain multiple superimposed maps for different stimulus attributes, such as receptive field position, edge orientation, spatial frequency, direction of motion and eye preference. I will review some of the experimental evidence for the existence of these maps as well as the evidence for gradient relationships and other types of structural link between them. I will compare these data with modelling results obtained using Kohonen's Self-Organising Feature Map algorithm which implements a competitive learning rule. I will discuss the extent to which the maps produced by this model, and a variant of it, are able to reproduce the experimentally observed properties of individual maps, as well as the gradient relationships between different maps.

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