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Top-Down Control of Learning in Biological Self-Organizing Maps

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Advances in Self-Organizing Maps (WSOM 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5629))

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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.

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Trappenberg, T., Hartono, P., Rasmusson, D. (2009). Top-Down Control of Learning in Biological Self-Organizing Maps. In: Príncipe, J.C., Miikkulainen, R. (eds) Advances in Self-Organizing Maps. WSOM 2009. Lecture Notes in Computer Science, vol 5629. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02397-2_36

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  • DOI: https://doi.org/10.1007/978-3-642-02397-2_36

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02396-5

  • Online ISBN: 978-3-642-02397-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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