Proceedings of the International Conference on Artificial Neural Networks Amsterdam, The Netherlands 13–16 September 1993

  • Stan Gielen
  • Bert Kappen

Table of contents

  1. Front Matter
    Pages i-xxvii
  2. Plenary Contributions

    1. Front Matter
      Pages 1-1
    2. Geoffrey E. Hinton, Drew van Camp
      Pages 11-18
  3. Principles from Neurobiology

    1. Front Matter
      Pages 19-19
    2. Memory and selforganization —oral contributions

      1. Mitsuyuki Nakao, Kazuhiko Watanabe, Yoshinari Mizutani, Mitsuaki Yamamoto
        Pages 27-30
      2. Sylvie Wacquant, Frank Joublin, Friederike Spengler, Ben Godde, Hubert R. Dinse
        Pages 31-36
      3. Daniel J. Amit, Nicolas Brunel
        Pages 37-41
    3. Memory and selforganization —poster contributions

About these proceedings


This book contains the proceedings of the International Confer­ ence on Artificial Neural Networks which was held between September 13 and 16 in Amsterdam. It is the third in a series which started two years ago in Helsinki and which last year took place in Brighton. Thanks to the European Neural Network Society, ICANN has emerged as the leading conference on neural networks in Europe. Neural networks is a field of research which has enjoyed a rapid expansion and great popularity in both the academic and industrial research communities. The field is motivated by the commonly held belief that applications in the fields of artificial intelligence and robotics will benefit from a good understanding of the neural information processing properties that underlie human intelligence. Essential aspects of neural information processing are highly parallel execution of com­ putation, integration of memory and process, and robustness against fluctuations. It is believed that intelligent skills, such as perception, motion and cognition, can be easier realized in neuro-computers than in a conventional computing paradigm. This requires active research in neurobiology to extract com­ putational principles from experimental neurobiological find­ ings, in physics and mathematics to study the relation between architecture and function in neural networks, and in cognitive science to study higher brain functions, such as language and reasoning. Neural networks technology has already lead to practical methods that solve real problems in a wide area of industrial applications. The clusters on robotics and applications contain sessions on various sub-topics in these fields.


artificial intelligence artificial neural network brain cognition dynamical systems information processing intelligence neural network neural networks neurobiology neurons pattern pattern recognition robot robotics

Editors and affiliations

  • Stan Gielen
    • 1
  • Bert Kappen
    • 1
  1. 1.Dutch Foundation for Neural NetworksUniversity of NijmegenNijmegenThe Netherlands

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-2063-6
  • Copyright Information Springer-Verlag London Limited 1993
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-19839-0
  • Online ISBN 978-1-4471-2063-6
  • About this book