Abstract
This paper discusses biological aspects of self-organising maps (SOMs) which includes a brief review of neurophysiological findings and classical models of neurophysiological SOMs. We then discuss some simulation studies on the role of topographic map representation for training mapping networks and on top-down control of map plasticity. © 2009 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Trappenberg, T., Hartono, P., & Rasmusson, D. (2009). Top-down control of learning in biological self-organizing maps. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5629 LNCS, pp. 316–324). https://doi.org/10.1007/978-3-642-02397-2_36
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