Front Cover

pp.：  1 – 4

Computational Models of Learning in Simple Neural Systems

pp.：  4 – 5

Copyright Page

pp.：  5 – 6

Contents

pp.：  6 – 10

Contributors

pp.：  10 – 12

Foreword

pp.：  12 – 14

Preface

pp.：  14 – 16

Chapter 1. Quantitative Modeling of Synaptic Plasticity

pp.：  16 – 46

Chapter 2. Computational Capabilities of Single Neurons: Relationship to Simple Forms of Associative and Nonassociative Learning in Aplysia

pp.：  46 – 80

Chapter 3. A Biological Based Computational Model for Several Simple Forms of Learning

pp.：  80 – 124

Chapter 4. Integrating Behavioral and Biological Models of Classical Conditioning

pp.：  124 – 172

Chapter 5. Some Relationships Between a Computational Model (SOP) and a Neural Circuit for Pavlovion (Rabbit Eyeblink) Conditioning

pp.：  172 – 220

Chapter 6. Simulation and Analysis of a Simple Cortical Network

pp.：  220 – 258

Chapter 7. A Computational Approach to Hippocampal Function

pp.：  258 – 322

Index

pp.：  322 – 334

Contents of Recent Volumes

pp.：  334 – 338