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THRESHOLD TRANSFORMATIONS
AND
DYNAMICAL SYSTEMS OF NEURAL NETWORKS

A COMBINATORIAL APPROACH

4th Edition (Vol 4.0)

Takao UEDA


 Preface and Table of Contents

  Chapter 1. Introduction

Chapter 2. Representations of basic Boolean transformations

Chapter 3. Reflective transformations

Chapter 4. Threshold functions and transformations

Chapter 5. Modification of threshold transformations

Chapter 6. Dynamical systems of first-order neural networks

Chapter 7. Calculus of Attraction

Chapter 8. Attractors in second-order neural networks

Chapter 9. Attractors in non-autonomous neural networks

Chapter 10. Case study: Neural integrators (for Latex)

Chapter 10. Case study: Neural integrators  (for Techexplorer)

References, Index, Symbols, and Notations

Figures: fback.eps, fback.jpg.

Appendix. Computer program tools