%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