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Artificial Neural Networks — ICANN ’97

7th International Conference Lausanne, Switzerland, October 8–10, 1997 Proceedings

  • Conference proceedings
  • © 1997

Overview

Editors:
  1. Wulfram Gerstner
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  2. Alain Germond
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  3. Martin Hasler
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  4. Jean-Daniel Nicoud
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1327)

Included in the following conference series:

Conference proceedings info: ICANN 1997.

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Table of contents (201 papers)

  1. Front Matter

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  2. Reward responses of dopamine neurons: A biological reinforcement signal

    • Wolfram Schultz
    Pages 1-12

  3. The information content of action potential trains a synaptic basis

    • Henry Markram, Misha Tsodyks
    Pages 13-23

  4. Cortical cell assemblies, laminar interaction, and thalamocortical interplay

    • Robert Miller
    Pages 25-30

  5. Cross-correlations in sparsely connected recurrent networks of spiking neurons

    • Nicolas Brunel
    Pages 31-36

  6. A comparative study of pattern detection algorithm and dynamical system approach using simulated spike trains

    • Igor V. Tetko, Alessandro E. P. Villa
    Pages 37-42

  7. Spatio-temporal pattern recognition with neural networks: Application to speech

    • Jean Rouat
    Pages 43-48

  8. Noise in integrate-and-fire models of neuronal dynamics

    • Petr Lánsky, Vera Lánská
    Pages 49-54

  9. Coarse coding accounts for improvement of spatial discrimination after plastic reorganization in rats and humans

    • Christian W. Eurich, Hubert R. Dinse, Ulrike Dicke, Ben Godde, Helmut Schwegler
    Pages 55-60

  10. Analogue resolution in a model of the Schaffer collaterals

    • Simon Schultz, Stefano Panzeri, Alessandro Treves, Edmund T. Rolls
    Pages 61-66

  11. Modeling networks with linear (VLSI) integrate-and-fire neurons

    • Maurizio Mattia, Stefano Fusi
    Pages 67-72

  12. An information-theoretic analysis of temporal coding strategies by spiking central neurons

    • Gustavo Deco, Bernd Schürmann
    Pages 73-78

  13. Correlation coding in stochastic neural networks

    • Raphael Ritz, Terrence J. Sejnowski
    Pages 79-84

  14. Two-dimensional Hodgkin-Huxley equations for investigating a basis of pulse-processing neural networks

    • Akira Hirose
    Pages 85-90

  15. Concurrent parallel-sequential processing in gamma controlled cortical-type networks of spiking neurones

    • Edgar Koerner, Ursula Koerner
    Pages 91-96

  16. A noise-robust auditory modelling front end for voiced speech

    • Leslie S. Smith
    Pages 97-102

  17. A novelty detector using a network of integrate and fire neurons

    • Tuong Vinh Ho, Jean Rouat
    Pages 103-108

  18. Derivation of pool dynamics from microscopic neuronal models

    • J. Eggert, J. L. van Hemmen
    Pages 109-114

  19. How a single Purkinje cell could learn the adaptive timing of the classically conditioned eye-blink response

    • Volker Steuber, David J. Willshaw
    Pages 115-120

  20. An algorithm for synaptic modification based on exact timing of pre- and post-synaptic action potentials

    • Walter Senn, Misha Tsodyks, Henry Markram
    Pages 121-126
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About this book

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.

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