In this advanced text the author, starting with the simple assumption that psychological associations are represented by the strength of synaptic connections, provides several mechanistic descriptions of complex cognitive behaviors. Part I presents neural network theories of classical conditioning, Part II describes neural networks of operant conditioning, and animal communication, Part III discusses spatial and cognitive mapping, and finally Part IV shows how neural network models permit one to simultaneously develop psychological theories and models of the brain. The book includes computer software that allows the computer simulation of classical conditioning and the effect of different brain lesions on many classical paradigms. All those people interested in neural networks, from psychologists, through neuroscientists to computer scientists working on artificial intelligence and robotics, will find this book an excellent advanced guide to the subject.
Preface and acknowledgements; Introduction; 1. Neural networks and associative learning; Part I: 2. Classical conditioning: data and theories; 3. Classical conditioning and cognitive mapping; 4. Attentional processes; 5. Storage and retrieval processes; 6. Configural processes; 7. Timing; Part II: 8. Operant conditioning and animal communication: data theories and networks; Part III: 9. Animal cognition: data and theories; 10. Place learning and spatial navigation; 11. Maze learning and cognitive mapping; Part IV: 12. Learning, cognition and the hippocampus: data and theories; 13. Hippocampal modulation of learning and cognition; Conclusion; 14. The character of the psychological law; Companion diskette; References; Glossary; Author index; Subject index.