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A Complex-Valued Spiking Machine

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Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003 (ICANN 2003, ICONIP 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2714))

Abstract

The technique presented in this article comes from the formalization of some passive electric properties of the dendritic trees in biological neurons using a complex-valued spatio-temporal coding. The introduction of this coding in the complex-valued neural networks makes it possible to give an algebraic formalization to the spiking neural networks. Our finality in term of applications is the processing of spatio-temporal patterns in the field of human-computer interactions. This technique was thus evaluated by simulation on handwritten character recognition and, audio and visual speech recognition problems. To improve the performances of it we present in this paper a design methodology which helps building multinetwork spiking machines. The implementation of a pen oriented interface made for an industrialist illustrates the method.

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Author information

Authors and Affiliations

  1. Supélec – Electronics, Signal Processing and Neural Networks team Avenue de la Boulaie, BP 81127, 35511, Cesson-Sévigné Cedex, France

    Gilles Vaucher

Authors
  1. Gilles Vaucher
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Editor information

Editors and Affiliations

  1. Bogazici University, Bebek, 34342, Istanbul, Turkey

    Okyay Kaynak  & Ethem Alpaydin  & 

  2. Laboratory of Computer and Information Science, Helsinki University of Technology, P.O.B. 5400, 02015, Finland

    Erkki Oja

  3. Department of Computer Science and Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong

    Lei Xu

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© 2003 Springer-Verlag Berlin Heidelberg

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Vaucher, G. (2003). A Complex-Valued Spiking Machine. In: Kaynak, O., Alpaydin, E., Oja, E., Xu, L. (eds) Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003. ICANN ICONIP 2003 2003. Lecture Notes in Computer Science, vol 2714. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44989-2_115

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  • DOI: https://doi.org/10.1007/3-540-44989-2_115

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40408-8

  • Online ISBN: 978-3-540-44989-8

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