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Wave propagation in self-organizing feature maps as a means for the representation of temporal sequences

  • Part IV: Signal Processing: Blind Source Separation, Vector Quantization, and Self Organization
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Artificial Neural Networks — ICANN'97 (ICANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1327))

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Abstract

Wave propagation within a “cortex” of neurons is used to influence the ordering of a self-organizing feature map. As a result, the network is able to represent temporal aspects of the input. Since the wave only uses local interactions between adjacent neurons, connectivity in the network is very low and a parallel hardware architecture suggests itself. Operation of a demonstration setup consisting of 16 neurons in digital technology is exemplified by the representation of phoneme sequences.

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Wulfram Gerstner Alain Germond Martin Hasler Jean-Daniel Nicoud

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© 1997 Springer-Verlag Berlin Heidelberg

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Dobrzewski, B., Ruwisch, D., Bode, M. (1997). Wave propagation in self-organizing feature maps as a means for the representation of temporal sequences. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020230

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  • DOI: https://doi.org/10.1007/BFb0020230

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63631-1

  • Online ISBN: 978-3-540-69620-9

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