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European Conference on Artificial Life

ECAL 2003: Advances in Artificial Life pp 191–198Cite as

Fascinating Rhythms by Chaotic Hopfield Networks

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2801))

Abstract

This papers aims to introduce a new way to store inputs in the network. By this way, it appears that the spontaneous dynamics of the network will increase in complexity by increasing the size of the learning set. This experimental work might give additional support to the Skarda and Freeman strong intuition that chaos should play an important role in the storage and the search capacities of our brains. An analysis of the type of chaos exploited to code these inputs will be related with the “frustrated chaos” described in previous papers. A live demonstration can be shown where rhythms and melodies associated with the dynamics can be heard.

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Author information

Authors and Affiliations

  1. Laboratory of Artificial Intelligence, University of Brussels, CP 194/6, Brussels, Belgium

    Colin Molter & Hugues Bersini

Authors
  1. Colin Molter
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  2. Hugues Bersini
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Memorial University of Newfoundland, Canada

    Wolfgang Banzhaf

  2. Department of Computer Science, University of Dortmund, 11, Joseph-von-Fraunhofer-Str. 20, 44227, Dortmund, Germany

    Jens Ziegler

  3. Fraunhofer IAIS, Sankt Augustin

    Thomas Christaller

  4. Bio Systems Analysis Group, Jena Centre for Bioinformatics and Friedrich Schiller University Jena, Ernst-Abbe-Platz 1–4, D-07743, Jena, Germany

    Peter Dittrich

  5. School of Computing Sciences, University of East Anglia, NR4 7TJ, Norwich, United Kingdom

    Jan T. Kim

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© 2003 Springer-Verlag Berlin Heidelberg

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Molter, C., Bersini, H. (2003). Fascinating Rhythms by Chaotic Hopfield Networks. In: Banzhaf, W., Ziegler, J., Christaller, T., Dittrich, P., Kim, J.T. (eds) Advances in Artificial Life. ECAL 2003. Lecture Notes in Computer Science(), vol 2801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39432-7_21

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  • DOI: https://doi.org/10.1007/978-3-540-39432-7_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-20057-4

  • Online ISBN: 978-3-540-39432-7

  • eBook Packages: Springer Book Archive

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