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ANIMAL LEARNING AND COGNITION: A NEURAL NETWORK APPROACH By Nestor A. Schmajuk
US $22,95
CircaEUR 19,75
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Gratis USPS Media MailTM.
Oggetto che si trova a: Raymond, Maine, Stati Uniti
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Consegna prevista tra il gio 20 nov e il mar 25 nov a 94104
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Informazioni sull'oggetto
Il venditore si assume la piena responsabilità della messa in vendita dell'oggetto.
Numero oggetto eBay:297748521779
Specifiche dell'oggetto
- Condizione
- EAN
- 9780521456968
- Book Title
- Animal Learning and Cognition: A Neural Network Approach
- ISBN-10
- 0521456967
- ISBN
- 9780521456968
Informazioni su questo prodotto
Product Identifiers
Publisher
Cambridge University Press
ISBN-10
0521456967
ISBN-13
9780521456968
eBay Product ID (ePID)
484203
Product Key Features
Number of Pages
352 Pages
Language
English
Publication Name
Animal Learning and Cognition : a Neural Network Approach
Publication Year
1997
Subject
Life Sciences / Neuroscience, Life Sciences / Zoology / Ethology (Animal Behavior)
Type
Textbook
Subject Area
Science
Series
Problems in the Behavioural Sciences Ser.
Format
Trade Paperback
Dimensions
Item Height
0.8 in
Item Weight
22.3 Oz
Item Length
10 in
Item Width
7 in
Additional Product Features
Intended Audience
Scholarly & Professional
LCCN
95-037712
Dewey Edition
20
Reviews
"Animal Learning and Cognition presents a scholarly and authoritative synthesis of learning theory and neural connectionism that is a testament to the advances made in the last twenty-five years since Rescorla and Wagner initiated the contemporary era. It will set the agenda for research in animal learning and conditioning for the next decade." Anthony Dickinson, University of Cambridge, '... anyone interested in the general area of learning and memory should read this book.'I. P. L. McLaren, Trends in Cognitive Sciences, ‘… anyone interested in the general area of learning and memory should read this book.’I. P. L. McLaren, Trends in Cognitive Sciences, "In this new effort, Nestor Schmajuk turns the powerful tools of neural-network modeling to animal learning and cognition...[H]e is among the best and most influential modelers working in the field...This book fully qualifies as a primer for neural-network models of animal cognition." American Scientist, '... anyone interested in the general area of learning and memory should read this book.' I. P. L. McLaren, Trends in Cognitive Sciences, '… anyone interested in the general area of learning and memory should read this book.' I. P. L. McLaren, Trends in Cognitive Sciences, "An encyclopedic consideration of associative learning and cognition from the perspective of contemporary mathematical models and their implementation in the brain. Learning and cognition evolve within the framework of dynamical equations linked to brain processes and physiologically plausible mechanisms. This book is possibly the most unified approach to quantitative learning theory and its neural underpinnings since Hull's 1943 Principles of Behavior." John W. Moore, University of Massachusetts, Amherst
Series Volume Number
Series Number 16
Illustrated
Yes
Dewey Decimal
156.3/15
Table Of Content
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.
Synopsis
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., 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., In this advanced text, the author provides several mechanistic descriptions of complex cognitive behaviors. He describes neural network theories of classical conditioning, spatial and cognitive mapping, operant conditioning, animal communication, and he shows how neural network models permit the development of useful brain models.
LC Classification Number
QL785 .S225 1997
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