Artificial Neural Networks — ICANN ’97

1. Front Matter

   PDF

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

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.

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

Policies and ethics