Free Delivery Over $100
|
|
|||
|
||||
OverviewThis text provides an introduction to the neural network modelling of complex cognitive and neuropsychological processes. It is intended to make the neural network approach accessible to practicing neuropsychologists, psychologists, neurologists, and psychiatry. It should also be a useful resource for computer scientists, mathematicians, and interdisciplinary cognitive neuroscientists. The editors (in their introduction) and contibutors explain the basic concepts behind modelling and avoid the use of high-level mathematics. The book is divided into four parts. Part One provides an extensive but basic overview of neural networks modelling, including its history, and present and future trends. It also includes chapters on attention, memory, and primate studies. Part Two discusses neural network models of behavioural states such as alcohol dependence, learned helplessness, depression, and waking and sleeping. Part Three presents neural network models of neuropsychological tests such as the Wisconsin Card Sorting Task, the Tower of Hanoi, and the Stroop Test. Finally, Part Four describes the application of neural network models to dementia: models of acetycholine and memory, verbal fluency, Parkinson's disease, and Alzheimer's disease. Full Product DetailsAuthor: Randolph Parks , Daniel S. Levine (University of Texas at Arlington) , Debra L. Long , Terrence J. Sejnowski (Francis Crick Professor, Salk Institute for Biological Studies)Publisher: MIT Press Ltd Imprint: MIT Press Dimensions: Width: 18.00cm , Height: 3.70cm , Length: 25.40cm Weight: 1.111kg ISBN: 9780262161756ISBN 10: 0262161753 Pages: 442 Publication Date: 07 December 1998 Recommended Age: From 18 Audience: College/higher education , Professional and scholarly , Undergraduate , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Out of Stock Indefinitely Availability: Out of stock  Table of ContentsReviewsAuthor InformationTerrence J. Sejnowski holds the Francis Crick Chair at the Salk Institute for Biological Studies and is a Distinguished Professor at the University of California, San Diego. He was a member of the advisory committee for the Obama administration's BRAIN initiative and is President of the Neural Information Processing (NIPS) Foundation. He is the author of The Deep Learning Revolution (MIT Press) and other books. Tomaso A. Poggio is Eugene McDermott Professor in the Department of Brain and Cognitive Sciences at MIT, where he is also Director of the Center for Brains, Minds, and Machines and Codirector of the Center for Biological and Computational Learning. He is coeditor of Perceptual Learning (MIT Press). Tab Content 6Author Website:Countries AvailableAll regions |
||||
