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Biological and Artificial Computation: From Neuroscience to Technology

International Work-Conference on Artificial and Natural Neural Networks, IWANN’97, Lanzarote, Canary Islands, Spain, June 4–6, 1997 Proceedings

  • Conference proceedings
  • © 1997

Overview

Editors:
  1. José Mira
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  2. Roberto Moreno-Díaz
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    You can also search for this editor in PubMed   Google Scholar

  3. Joan Cabestany
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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 1240)

Included in the following conference series:

Conference proceedings info: IWANN 1997.

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Table of contents (142 papers)

  1. A generic formulation of neural nets as a model of parallel and self-programming computation

    • J. Mira, J. C. Herrero, A. E. Delgado
    Pages 195-206

  2. Using an artificial neural network for studying the interneuronal layer of a leech neuronal circuit

    • Santos Juan Miguel, Szczupak Lidia
    Pages 207-216

  3. Capacity and parasitic fixed points control in a recursive neural network

    • V. Giménez, M. Pérez-Castellanos, J. Rios Carrion, F. de Mingo
    Pages 217-226

  4. The use of prior knowledge in neural network configuration and training

    • Melanie Hilario, Ahmed Rida
    Pages 227-236

  5. A model for heterogeneous neurons and its use in configuring neural networks for classification problems

    • Julio J. Valdés, Ricardo García
    Pages 237-246

  6. A computation theory for orientation-selective simple cells based on the MAP estimation principle and Markov random fields

    • Mehdi N. Shirazi, Yoshikazu Nishikawa
    Pages 247-256

  7. Competition between feed-forward and lateral information processing in layered neural networks

    • A. C. C. Coolen, L. Viana
    Pages 257-264

  8. Computing functions with spiking neurons in temporal coding

    • Berthold Ruf
    Pages 265-272

  9. An introduction to Fuzzy State Automata

    • L. M. Reyneri
    Pages 273-283

  10. Statistical analysis of regularization constant — From Bayes, MDL and NIC points of view

    • Shun-ichi Amari, Noboru Murata
    Pages 284-293

  11. Building digital libraries from paper documents, using ART based neuro-fuzzy systems

    • R. Sanz Guadarrama, J. M. Cano Izquierdo, Y. A. Dimitriadis, G. I. Sainz Palmero, J. Lopez Coronado
    Pages 294-303

  12. Parallelization of connectionist models based on a symbolic formalism

    • J. Santos, M. Cabarcos, R. P. Otero, J. Mira
    Pages 304-312

  13. Generic neural network model and simulation toolkit

    • Montserrat García del Valle, Carlos García-Orellana, Francisco J. López-Aligué, Isabel Acevedo-Sotoca
    Pages 313-322

  14. A neural-fuzzy technique for interpolating spatial data via the use of learning curve

    • P. M. Wong, K. W. Wong, C. C. Fung, T. D. Gedeon
    Pages 323-329

  15. Task decomposition based on class relations: A modular neural network architecture for pattern classification

    • Bao-Liang Lu, Masami Ito
    Pages 330-339

  16. Lower bounds of computational power of a synaptic calculus

    • João Pedro Neto, J. Félix Costa, Helder Coelho
    Pages 340-348

  17. Feed Forward Neural Network entities

    • Andreas Hadjiprocopis, Peter Smith
    Pages 349-359

  18. Astrocytes and slow learning in the formation of distal cortical associations

    • J. G. Wallace, K. Bluff
    Pages 360-369

  19. Adaptation and other dynamic effects on neural signal transfer

    • László Orzó, Elemér Lábos
    Pages 370-379

  20. Hebbian learning in networks of spiking neurons using temporal coding

    • Berthold Ruf, Michael Schmitt
    Pages 380-389
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Other volumes

  1. Biological and Artificial Computation: From Neuroscience to Technology

Keywords

About this book

This book constitutes the refereed proceedings of the International Work-Conference on Artificial Neural Networks, IWANN'97, held in Lanzarote, Canary Islands, Spain, in June 1997.
The volume presents 142 revised full papers selected from an overwhelming wealth of submissions. The volume is divided into sections on biological foundations of neural computation, formal tools and computational models of neurons and neural nets architectures, plasticity phenomena, complex systems dynamics, cognitive science and AI, neural nets simulation, emulation and implementation, methodology for data analysis, task selection and net design, neural networks for perception, and neural networks for communications, control and robotics.

Bibliographic Information

  • Book Title: Biological and Artificial Computation: From Neuroscience to Technology

  • Book Subtitle: International Work-Conference on Artificial and Natural Neural Networks, IWANN’97, Lanzarote, Canary Islands, Spain, June 4–6, 1997 Proceedings

  • Editors: José Mira, Roberto Moreno-Díaz, Joan Cabestany

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/BFb0032457

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1997

  • Softcover ISBN: 978-3-540-63047-0Published: 14 May 1997

  • eBook ISBN: 978-3-540-69074-0Published: 01 December 2005

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XLII, 1406

  • Number of Illustrations: 856 b/w illustrations

  • Topics: Computation by Abstract Devices, Artificial Intelligence, Complexity, Neurosciences, Computer Communication Networks, Animal Physiology

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