Neural Networks

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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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.

• management
• networks
• neural networks
• organization
• society

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

  E. R. Caianiello

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