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Key Information
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| Editors: |
Daniel S. Levine |
| Nonfiction Category: |
Medical · Psychology · Science |
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Book Editions
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| : |
Format: Hardcover, 428
Publisher: Bradford Books (December 11, 1998)
Measurements: 10.5"(h) x 7.5"(w) x 1.25"(d), 2.5 lbs.
ISBN: 9780262161756 |
| More Information |
| Details: |
Over the past few years, computer modeling has become more prevalent in the clinical sciences as an alternative to traditional symbol-processing models. This book provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes. It is intended to make the neural network approach accessible to practicing neuropsychologists, psychologists, neurologists, and psychiatrists. It will also be a useful resource for computer scientists, mathematicians, and interdisciplinary cognitive neuroscientists. The editors (in their introduction) and contributors explain the basic concepts behind modeling and avoid the use of high-level mathematics. The book is divided into four parts. Part I provides an extensive but basic overview of neural network modeling, including its history, present, and future trends. It also includes chapters on attention, memory, and primate studies. Part II discusses neural network models of behavioral states such as alcohol dependence, learned helples |
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