Skip to main content
SpringerLink
Log in

New Trends in Neural Computation

International Workshop on Artificial Neural Networks, IWANN'93, Sitges, Spain, June 9-11, 1993. Proceedings

  • Conference proceedings
  • © 1993

Overview

Editors:
  1. José Mira
    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Joan Cabestany
    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Alberto Prieto
    View editor publications

    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 686)

Included in the following conference series:

Conference proceedings info: IWANN 1993.

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
Softcover Book USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (115 papers)

  1. Front Matter

    Download chapter PDF

  2. Biophysics of neural computation

    • K. N. Leibovic
    Pages 1-11

  3. Integrated learning in rana computatrix

    • Fernando J. Corbacho, Michael A. Arbib
    Pages 12-19

  4. A model for centering visual stimuli through adaptive value learning

    • Murciano A., Zamora J., Reviriego M.
    Pages 20-23

  5. A model for the development of neurons selective to visual stimulus size

    • M. A. Andrade, F. Morán
    Pages 24-29

  6. An invariant representation mechanism after presynaptic inhibition

    • Roberto Moreno-Díaz Jr., Olga Bolívar Toledo
    Pages 30-36

  7. The pancreatic B-cell as a voltage-controlled oscillator

    • J. V. Sánchez-Andrés, B. Soria
    Pages 37-42

  8. Approximation of the solution of the dendritic cable equation by a small series of coupled differential equations

    • Jaap Hoekstra
    Pages 43-48

  9. A neural network model inspired in global appreciations about the thalamic reticular nucleus and cerebral cortex connectivity

    • Javier Ropero Peláez
    Pages 49-54

  10. Towards more realistic self contained models of neurons: High-order, recurrence and local learning

    • J. Mira, A. E. Delgado, J. R. Alvarez, A. P. de Madrid, M. Santos
    Pages 55-62

  11. McCulloch's neurons revisited

    • Robert J. Scott
    Pages 63-67

  12. Biologically motivated approach to face recognition

    • N. Petkov, P. Kruizinga, T. Lourens
    Pages 68-77

  13. Learning by reinforcement: A psychobiological model

    • Francisco J. Vico, F. Sandoval, J. Almaraz
    Pages 78-83

  14. A neural state machine for iconic language representation

    • Igor Aleksander, Helen Morton
    Pages 84-89

  15. Variable binding using serial order in recurrent neural networks

    • Joan Lòpez-Moliner, Josep Ma Sopena
    Pages 90-95

  16. Region of influence (ROI) networks. Model and implementation

    • F. Castillo, J. Cabestany, J. M. Moreno
    Pages 96-101

  17. A node splitting algorithm that reduces the number of connections in a Hamming distance classifying network

    • H. Hüning
    Pages 102-107

  18. A high order neural model

    • Lopez Aligué Francisco J., Acevedo Sotoca Ma Isabel, Jaramillo Moran Miguel A.
    Pages 108-113

  19. Higher-order networks for the optimization of block designs

    • Pau Bofill, Carme Torras
    Pages 114-118

  20. Neural Bayesian classifier

    • Christian Jutten, Pierre Comon
    Pages 119-124
Back to top

Other volumes

  1. New Trends in Neural Computation

Keywords

About this book

Neural computation arises from the capacity of nervous tissue to process information and accumulate knowledge in an intelligent manner. Conventional computational machines have encountered enormous difficulties in duplicatingsuch functionalities. This has given rise to the development of Artificial Neural Networks where computation is distributed over a great number of local processing elements with a high degree of connectivityand in which external programming is replaced with supervised and unsupervised learning. The papers presented in this volume are carefully reviewed versions of the talks delivered at the International Workshop on Artificial Neural Networks (IWANN '93) organized by the Universities of Catalonia and the Spanish Open University at Madrid and held at Barcelona, Spain, in June 1993. The 111 papers are organized in seven sections: biological perspectives, mathematical models, learning, self-organizing networks, neural software, hardware implementation, and applications (in five subsections: signal processing and pattern recognition, communications, artificial vision, control and robotics, and other applications).

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation