From Natural to Artificial Neural Computation

1. Front Matter

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2. Are there universal principles of brain computation?

   • Stephen Grossberg

   Pages 1-6

3. Modeling cortical networks

   • Liset Menéndez de la Prida

   Pages 7-14

4. Cooperative organization of connectivity patterns and receptive fields in the visual pathway: application to adaptive tresholding

   • J. Mira, A. Manjarrés, S. Ros, A. E. Delgado, J. R. Alvarez

   Pages 15-23

5. Neurobiological inspiration for the architecture and functioning of cooperating neural networks

   • Frédéric Alexandre, Frédéric Guyot

   Pages 24-30

6. Synaptic modulation based artificial neural networks

   • R. J. Duro, J. Santos, A. Gómez

   Pages 31-36

7. Self-organization of cortical receptive fields and columnar structures in a Hebb-trained neural network

   • M. Stetter, M. Kussinger, A. Schels, E. Seeger, E. W. Lang

   Pages 37-44

8. An analytical solution of the compartmental model for use in local learning in artificial neural networks

   • Jaap Hoekstra, Mohamed Maouli

   Pages 45-52

9. Should ANN be ANGN?

   • J. G. Wallace, K. Bluff

   Pages 53-60

10. Modeling retinal high and low contrast sensitivity filters

    • T. Lourens

    Pages 61-68

11. Neural micro-structures three simple models

    • Josep Miró Nicolau

    Pages 69-75

12. Adaptive hierarchical structures

    • A. Daffertshofer, H. Haken

    Pages 76-84

13. Optimal range of input resistance in the oscillatory behavior of the pancreatic β-cell

    • E. Andreu, B. Soria, S. Bolea, J. V. Sánchez-Andrés

    Pages 85-89

14. A computational model of periodic-pattern-selective cells

    • P. Kruizinga, N. Petkov

    Pages 90-99

15. Modeling and analysis of some neural mechanisms for the genesis and control of respiratory pattern

    • Ilya A. Rybak, Julian F. R. Paton, James S. Schwaber

    Pages 100-107

16. A neural network model for plasticity in adult striate cortex

    • Federico Morán, Miguel A. Andrade

    Pages 108-113

17. Regenerative-type neural interface

    • Elena Valderrama, Rosa Villa, Enric Cabruja, Paco Garrido, Xavier Navarro, Miquel Buti et al.

    Pages 114-120

18. New perspectives in auditory coding: Bases for a new cochlear behavioural model

    • R. Villa, J. Aguiló

    Pages 121-129

19. Nervous system as a closed neuronal network: behavioral and cognitive consequences

    • Jorge Mpodozis, Juan-Carlos Letelier, Humberto Maturana

    Pages 130-136

20. Local accumulation of persistent activity at synaptic level: Application to motion analysis

    • M. A. Fernández, J. Mira, M. T. López, J. R. Álvarez, A. Manjarrés, S. Barro

    Pages 137-143

This volume presents the proceedings of the International Workshop on Artificial Neural Networks, IWANN '95, held in Torremolinos near Malaga, Spain in June 1995.
The book contains 143 revised papers selected from a wealth of submissions and five invited contributions; it covers all current aspects of neural computation and presents the state of the art of ANN research and applications. The papers are organized in sections on neuroscience, computational models of neurons and neural nets, organization principles, learning, cognitive science and AI, neurosimulators, implementation, neural networks for perception, and neural networks for communication and control.

• Adaptives Lernen
• Anwendungen Neuronaler Netze
• Kognitive Wissenschaften
• Neuronales Rechnen
• adaptive learning
• algorithm
• artificial intelligence
• automata
• cognition
• image processing
• logic
• neural computation
• proving
• speech processing
• topology

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