Table of contents

  1. Front Matter
  2. Petr Lánsky, Vera Lánská
    Pages 49-54
  3. Christian W. Eurich, Hubert R. Dinse, Ulrike Dicke, Ben Godde, Helmut Schwegler
    Pages 55-60
  4. Simon Schultz, Stefano Panzeri, Alessandro Treves, Edmund T. Rolls
    Pages 61-66
  5. Maurizio Mattia, Stefano Fusi
    Pages 67-72
  6. Raphael Ritz, Terrence J. Sejnowski
    Pages 79-84
  7. J. Eggert, J. L. van Hemmen
    Pages 109-114

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 7th International Conference on Artificial Neural Networks, ICANN'97, held in Lausanne, Switzerland,in October 1997. The 201 revised papers presented were selected from a large number of submissions and give a unique documentation of the state of the art in the area. The papers are organized in parts on coding and learning in biology; cortical maps and receptive fields; learning: theory and applications; signal processing: blind source separation, vector quantization, and self-organization; robotics, autonomous agents, and control; speech, vision and pattern recognition; prediction, forecasting and monitoring; and implementations.

Keywords

Controller Area Network (CAN) adaptive systems agents artificial neural network autonomous agents biocomputation cognition control learning neural networks pattern recognition robot robotics signal processing

Bibliographic information

  • DOI https://doi.org/10.1007/BFb0020124
  • Copyright Information Springer-Verlag 1997
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-63631-1
  • Online ISBN 978-3-540-69620-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book