%A Michael Spratling
%A Gillian Hayes
%T Learning sensory-motor cortical mappings without training
%X This paper shows how the relationship between two arrays of artificial neurons, representing different cortical regions, can be learned. The algorithm enables each neural network to self-organise into a topological map of the domain it represents at the same time as the relationship between these maps is found. Unlike previous methods learning is achieved without a separate training phase; the algorithm which learns the mapping is also that which performs the mapping.
%D 1998
%K sensorimotor control, neural networks
%P 339-344
%L cogprints1106

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