The Mind within the Net

Models of Learning, Thinking, and Acting

Neurophysiology has told us a lot about how neurons work; neural network theory is about how neurons work together to process information. In this highly readable book, Manfred Spitzer provides a basic, nonmathematical introduction to neural networks and their clinical applications. Part I explains the fundamental theory of neural networks and how neural network models work. Part II covers the principles of network functioning and how computer simulations of neural networks have profound consequences for our understanding of how the brain works. Part III covers applications of network models (e.g., to knowledge representation, language, and mental disorders such as schizophrenia and Alzheimer's disease) that shed new light on normal and abnormal states of mind. Finally, Spitzer concludes with his thoughts on the ramifications of neural networks for the understanding of neuropsychology and human nature.

Table of Contents

  1. Preface
  2. Acknowledgments
  3. 1. Introduction
  4. I. Basics
  5. 2. Neuronal Teamwork
  6. 3. Learning
  7. 4. Vectors in the Head
  8. II. Principles
  9. 5. Maps in the Cortex
  10. 6. Hidden Layers
  11. 7. Neuroplasticity
  12. 8. Feedback
  13. III. Applications
  14. 9. Representing Knowledge
  15. 10. Semantic Networks
  16. 11. The Disordered Mind
  17. 12. Thoughts and Impressions
  18. Glossary
  19. References
  20. Index