Table of Contents

Ch. 1. Introduction
Ch. 2. Pattern Association Memory
Ch. 3. Autoassociation Memory
Ch. 4. Competitive Networks, Including Self-Organizing Maps
Ch. 5. Error-Correcting Networks: Perceptrons, Backpropagation of Error in Multilayer Networks, and Reinforcement Learning Algorithms
Ch. 6. Hippocampus and Memory
Ch. 7. Pattern Association in the Brain: Amygdala and Orbitofrontal Cortex
Ch. 8. Cortical Networks for Invariant Pattern Recognition
Ch. 9. Motor Systems: Cerebellum and Basal Ganglia
Ch. 10. Cerebral Neocortex
Appendix 1. Introduction to Linear Algebra for Neural Networks
Appendix 2. Information Theory
Appendix 3. Pattern Associators
Appendix 4. Autoassociators
Appendix 5. Recurrent Dynamics

Reviews

`...a fascinating groundwork for researchers stydying how the human brian works and how behaviour is produced.'
ASLIB 63/8 August 98.