The University of Edinburgh -
Division of Informatics
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Research Paper #900

Title:Learning Sensory-Motor Cortical Mappings Without Training
Authors:Spratling,MW; Hayes,GM
Date:Dec 1997
Presented:Accepted for ESANN98
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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