@misc{cogprints1106, title = {Learning sensory-motor cortical mappings without training}, author = {Michael Spratling and Gillian Hayes}, year = {1998}, pages = {339--344}, keywords = {sensorimotor control, neural networks}, url = {http://cogprints.org/1106/}, abstract = {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.} }