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Problems in the Behavioural Sciences: Animal Learning and Cognition: A Neural Network Approach Series Number 16 (Hardback)
  • Problems in the Behavioural Sciences: Animal Learning and Cognition: A Neural Network Approach Series Number 16 (Hardback)
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Problems in the Behavioural Sciences: Animal Learning and Cognition: A Neural Network Approach Series Number 16 (Hardback)

(author)
£170.00
Hardback 352 Pages / Published: 28/04/1997
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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.

Publisher: Cambridge University Press
ISBN: 9780521450867
Number of pages: 352
Weight: 876 g
Dimensions: 260 x 187 x 24 mm


MEDIA REVIEWS
'... 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
"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
"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
"In this new effort, Nestor Schmajuk turns the powerful tools of neural-network modeling to animal learning and cognition....he is among the best and most influential modelers working in the field." James S. Nairne, American Scientist

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