Foreword / Alex Meystel -- Foreword / Karl A. Greene -- 1. Limitations of Analytical Mechanistic Approaches to Biological Neural Networks -- 2. The Control Theory Approach to Biological Neural Networks -- 3. A Central Pattern Generator Includes A Model of Controlled Object: An Experimental Proof -- 4. The Spinal Motor Optimal Control System -- 5. Generalizing the Concept of a Neural Optimal Control System: A Generic Neural Optimal Control System -- 6. Learning in Artificial and Biological Neural Networks -- 7. The Hierarchy of Neural Control Systems -- 8. Application of the Concept of Optimal Control Systems to Inborn Motor Automatisms in Various Animal Species -- 9. The Stretch-Reflex System -- 10. The Cerebellum -- 11. The Skeletomotor Cortico-Basal Ganglia-Thalamocortical Circuit -- 12. The Limbic System -- 13. The Prefrontal Cortex -- 14. Conclusion -- App. 1. The Main Properties of Sensory Information Sources and Channels
App. 2. Functioning of the Internal Model of the Controlled Object -- App. 3. The Spinal Optimal Motor Control System as a Neural Network
Bibliography
Includes bibliographical references (pages 226-242) and index
