Description: Fundamentals of Neural Network Modeling: Neuropsychology and Cognitive Neuroscience (Computational Neuroscience) (Computational Neuroscience Series) Description Provides an introduction to the neural network modeling of complex cognitive and neuropsychological processes.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 helplessness, depression, and waking and sleeping. Part III presents neural network models of neuropsychological tests such as the Wisconsin Card Sorting Task, the Tower of Hanoi, and the Stroop Test. Finally, part IV describes the application of neural network models to dementia: models of acetycholine and memory, verbal fluency, Parkinsons disease, and Alzheimers disease.Contributors J. Wesson Ashford, Rajendra D. Badgaiyan, Jean P. Banquet, Yves Burnod, Nelson Butters, John Cardoso, Agnes S. Chan, Jean-Pierre Changeux, Kerry L. Coburn, Jonathan D. Cohen, Laurent Cohen, Jose L. Contreras-Vidal, Antonio R. Damasio, Hanna Damasio, Stanislas Dehaene, Martha J. Farah, Joaquin M. Fuster, Philippe Gaussier, Angelika Gissler, Dylan G. Harwood, Michael E. Hasselmo, J, Allan Hobson, Sam Leven, Daniel S. Levine, Debra L. Long, Roderick K. Mahurin, Raymond L. Ownby, Randolph W. Parks, Michael I. Posner, David P. Salmon, David Servan-Schreiber, Chantal E. Stern, Jeffrey P. Sutton, Lynette J. Tippett, Daniel Tranel, Bradley Wyble Read more Features: Product Details: Publisher : MIT Press; First Edition (14 Jan. 1999) Language : English Hardcover : 444 pages ISBN-10 : 0262161753 ISBN-13 : 56 Dimensions : 19.05 x 3.18 x 26.67 cm Best Sellers Rank: 2,626,070 in Books (See Top 100 in Books) 1,217 in 3-D Graphics Software 2,219 in Neuroscience Biology 2,288 in The Human Brain 1,217 in 3-D Graphics Software 2,219 in Neuroscience Biology 2,288 in The Human Brain Handling We will ship all orders on the same business day of payment. Delivery We ship out FREE to a UK Address on a 2-3 day service. Premium and International shipping is available on request. Offers We are here to sell books. We have a massive collection of New and Pre Loved books. We would love to keep them here with us but we know they will be just as loved by you! If you like our book but don't like our Buy Now price then why not make us an offer? We'd love to have you reading this book.
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Brand: NA
ISBN: 0262161753
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Subject Area: Developmental Psychology
Item Height: 254 mm
Item Width: 180 mm
Series: Computational Neuroscience Series
Author: Randolph Parks, Tomaso A. Poggio, Debra L. Long, Daniel S. Levine, Terrence J. Sejnowski
Publication Name: Fundamentals of Neural Network Modeling: Neuropsychology and Cognitive Neuroscience
Format: Hardcover
Language: English
Publisher: MIT Press LTD
Subject: Medicine, Computer Science, Biology
Publication Year: 1998
Type: Textbook
Item Weight: 1111 g
Number of Pages: 442 Pages