@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.}
}

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