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Neural Networks

Proceedings of the School on Neural Networks June 1967 in Ravello

  • Conference proceedings
  • © 1968

Overview

Editors:
  1. E. R. Caianiello

    1. Laboratorio di Cibernetica del CNR, Arco Felice, Napoli, Italia

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Table of contents (17 papers)

  1. Front Matter

    Pages I-VII
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  2. Synaptic Activity at Dendritic Locations: Theory and Experiment

    • W. Rall
    Pages 1-5

  3. On Fields of Inhibitory Influence in a Neural Network

    • F. Ratliff
    Pages 6-23

  4. Upper and Lower Levels of the Auditory System: A Contrast of Structure and Function

    • E. F. Evans
    Pages 24-33

  5. On Chiasms

    • V. Braitenberg
    Pages 34-42

  6. Some Ideas on Information Processing in the Cerebellum

    • M. A. Arbib, G. F. Franklin, N. Nilsson
    Pages 43-58

  7. The Importance of ‘Landmarks’ for Visual Perception

    • D. M. MacKay
    Pages 59-64

  8. Logic and Closed Loops for a Computer Junket to Mars

    • W. S. McCulloch
    Pages 65-91

  9. Neural Networks: Reverberations, Constants of Motion, General Behavior

    • E. R. Caianiello, A. de Luca, L. M. Ricciardi
    Pages 92-99

  10. Probabilistic Description of Neurons

    • A. de Luca, L. M. Ricciardi
    Pages 100-109

  11. Models of Certain Nonlinear Systems

    • J. D. Aplevich
    Pages 110-115

  12. Diffusion Models for the Stochastic Activity of Neurons

    • P. I. M. Johannesma
    Pages 116-144

  13. Statistical Approach to the Study of Neural Networks

    • J.-Cl. Levy
    Pages 145-157

  14. A Fundamental Consideration on Pattern Recognizers

    • S. Noguchi, K. Nagasawa, J. Oizumi
    Pages 158-164

  15. Multilayer and Multilevel Control Structures

    • A. Straszak
    Pages 165-169

  16. On the Mathematics of Model Building

    • R. E. Kalman
    Pages 170-177

  17. A Statistical Clock

    • B. Touschek
    Pages 178-180

  18. Statistical Mechanics of Nervous Nets

    • J. D. Cowan
    Pages 181-188

  19. Back Matter

    Pages 189-190
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Keywords

About this book

Sciences may be nowadays grouped into three classes, having as their subjects of study respectively Matter, Life and Intelligence. That "Intelligence" may be studied in a quantitative manner is a discovery of our age, not less significant in many ways than the 17th ceiltury realization that celestial phenomena are of one and the same nature as terrestrial and all other physical accidents. As the latter was accomplished through and accompanied by a major revolution in philosophy and method, so is now the scientific investigation of intelligent phenomena - although harely begun - already causing an unprecedented revolution in all our previous conceptions as mind and machine, society and organization. What electronic com­ puters have already accomplished in disclosing perspectives to sciences and imposing new approached to management is but a negligible change, if compared to those yet in store, which will closely follow the understanding of the many as yet unknown functional principles which make nervous systems act and react the way they do. The study of Neural Networks is the key point in the systematic quantitative investigation of such phenomena. With patience and humility, neuroanatomists and physiologists try to connect structure with function in systems of neurons which are "simple" enough to be studied with the extant techniques, either because of the paucity of their elements or because of the high degree of symmetry these possess (e. g.

Editors and Affiliations

  • Laboratorio di Cibernetica del CNR, Arco Felice, Napoli, Italia

    E. R. Caianiello

Bibliographic Information

  • Book Title: Neural Networks

  • Book Subtitle: Proceedings of the School on Neural Networks June 1967 in Ravello

  • Editors: E. R. Caianiello

  • DOI: https://doi.org/10.1007/978-3-642-87596-0

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin · Heidelberg 1968

  • Softcover ISBN: 978-3-642-87598-4Published: 29 April 2012

  • eBook ISBN: 978-3-642-87596-0Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: VII, 190

  • Number of Illustrations: 30 b/w illustrations

  • Topics: Computer Science, general

  • Industry Sectors: IT & Software, Telecommunications

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