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Neuro-biological bases for spatio-temporal data coding in artificial neural networks

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Artificial Neural Networks — ICANN 96 (ICANN 1996)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1112))

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Abstract

Taking as a starting point Wilfrid Rall's dendritic tree model, well known by neuro-biologists, we propose a spatio-temporal data coding to introduce time in an artificial neuron (AN). This paper describes the biological origin of the coding and its links with the AN. With this type of coding, the algebraic properties of ANs are maintained and applied to sequence processing.

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Authors and Affiliations

  1. SUPÉLEC, Av. de la Boulaie, B.P. 28, 35511, Cesson-Sévigné Cedex, France

    Gilles Vaucher

Authors
  1. Gilles Vaucher
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Editor information

Christoph von der Malsburg Werner von Seelen Jan C. Vorbrüggen Bernhard Sendhoff

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© 1996 Springer-Verlag Berlin Heidelberg

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Vaucher, G. (1996). Neuro-biological bases for spatio-temporal data coding in artificial neural networks. In: von der Malsburg, C., von Seelen, W., Vorbrüggen, J.C., Sendhoff, B. (eds) Artificial Neural Networks — ICANN 96. ICANN 1996. Lecture Notes in Computer Science, vol 1112. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61510-5_119

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  • DOI: https://doi.org/10.1007/3-540-61510-5_119

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-61510-1

  • Online ISBN: 978-3-540-68684-2

  • eBook Packages: Springer Book Archive

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