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Animal Learning and Cognition: A Neural Network Approach [Kietas viršelis]

(Duke University, North Carolina)
  • Formatas: Hardback, 352 pages, aukštis x plotis x storis: 260x187x24 mm, weight: 876 g, 14 Tables, unspecified; 144 Line drawings, unspecified
  • Serija: Problems in the Behavioural Sciences
  • Išleidimo metai: 28-Apr-1997
  • Leidėjas: Cambridge University Press
  • ISBN-10: 0521450861
  • ISBN-13: 9780521450867
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 352 pages, aukštis x plotis x storis: 260x187x24 mm, weight: 876 g, 14 Tables, unspecified; 144 Line drawings, unspecified
  • Serija: Problems in the Behavioural Sciences
  • Išleidimo metai: 28-Apr-1997
  • Leidėjas: Cambridge University Press
  • ISBN-10: 0521450861
  • ISBN-13: 9780521450867
Kitos knygos pagal šią temą:
In this advanced text, the author, starting with the simple assumption that psychological associations are represented by the strength of synaptic connections, details 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.

This text gives several mechanistic descriptions of complex cognitive behaviors, and shows how neural networks permit the development of useful brain models.

Recenzijos

' anyone interested in the general area of learning and memory should read this book.' I. P. L. McLaren, Trends in Cognitive Sciences

Daugiau informacijos

This text gives several mechanistic descriptions of complex cognitive behaviors, and shows how neural networks permit the development of useful brain models.
Preface ix(1)
Acknowledgments x(2)
Glossary xii
Introduction 3(14)
1. Neural networks and associative learning
3(14)
PART I: Classical conditioning 17(132)
2. Classical conditioning: data and theories
17(20)
3. Cognitive mapping
37(19)
4. Attentional processes
56(18)
5. Storage and retrieval processes
74(43)
6. Configural processes
117(19)
7. Timing
136(13)
PART II: Operant conditioning 149(38)
8. Operant conditioning and animal communicationl: data, theories, and networks
149(38)
PART III: Cognition 187(54)
9. Animal cognition: data and theories
187(7)
10. Place learning and spatial navigation
194(25)
11. Maze learning and cognitive mapping
219(22)
PART IV: Learning, cognition and the brain 241(54)
12. Learning, cognition, and the hippocampus: data and theories
241(16)
13. Hippocampal modulation of learning and cognition
257(38)
Conclusion 295(12)
14. The character of the psychological law
295(12)
References 307(18)
Companion diskette 325(5)
Author Index 330(5)
Subject Index 335