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Fundamentals of neural network modeling : neuropsychology and cognitive neuroscience / edited by Randolph W. Parks, Daniel S. Levine, and Debra L. Long

Published
Cambridge, Mass. : MIT Press, [1998]
Copyright Date
©1998
Physical Description
1 online resource (xiii, 428 pages) : illustrations
Additional Creators
Parks, Randolph W., Levine, Daniel S., and Long, Debra L.
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Series
Language Note
English.
Contents
Series Foreword -- Preface -- Contributors -- I. Introduction to Neural Networks -- 1. An Introduction to Neural Network Modeling: Merits, Limitations, and Controversies / Debra L. Long, Randolph W. Parks and Daniel S. Levine -- 2. Functional Cognitive Networks in Primates / J. Wesson Ashford, Kerry L. Coburn and Joaquin M. Fuster -- 3. Attention and Neural Networks / Michael I. Posner and Rajendra D. Badgaiyan -- 4. A Neural Network Model of Memory, Amnesia, and Cortico-Hippocampal Interactions / Jean P. Banquet, Philippe Gaussier, Jose L. Contreras-Vidal, Angelika Gissler, Yves Burnod and Debra L. Long -- II. Behavioral States -- 5. A Computational Model of Alcohol Dependence: Simulation of Genetic Differences in Alcohol Preference and of Therepeutic Strategies / Raymond L. Ownby -- 6. A Computational Perspective on Learned Helplessness and Depression / Sam Leven -- 7. Waking and Sleeping States / Jeffrey P. Sutton and J. Allan Hobson -- III. Neuropsychological Tests and Clinical Syndromes -- 8. Stroop Task, Language, and Neuromodulation: Models of Cognitive Deficits in Schizophrenia / David Servan-Schreiber and Jonathan D. Cohen -- 9. Neural Network Modeling of Executive Functioning with the Tower of Hanoi Test in Frontal Lobe-Lesioned Patientcs / John Cardoso and Randolph W. Parks -- 10. Neuronal Network Models of Acalculia and Prefrontal Deficits / Stanislas Dehaene, Laurent Cohen and Jean-Pierre Changeux -- 11. Neuropsychological Assessment of Attention and Its Disorders: Computational Models for Neglect, Extinction, and Sustained Attention / Raymond L. Ownby and Dylan G. Harwood -- 12. The Neural Basis of Lexical Retrieval / Daniel Tranel, Hanna Damasio and Antonio R. Damasio -- IV. Applications in Dementia -- 13. A Model of Human Memory Based on the Cellular Physiology of the Hippocampal Formation / Michael E. Hasselmo, Bradley P. Wyble and Chantal E. Stern -- 14. Neural Network Modeling of Basal Ganglia Function in Parkinson's Disease and Related Disorders / Roderick K. Mahurin -- 15. Neural Network Modeling of Wisconsin Card Sorting and Verbal Fluency Tests: Applications with Frontal Lobe-Damaged and Alzheimer's Disease Patients / Randolph W. Parks and Daniel S. Levine -- 16. Semantic Network Abnormalities in Patients with Alzheimer's Disease / Agnes S. Chan, David P. Salmon and Nelson Butters -- 17. Parallel Distributed Processing Models in Alzheimer's Disease / Lynette J. Tippett and Martha J. Farah -- Index.
Summary
Annotation 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 Alzheimer's 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.
Subject(s)
ISBN
0585108358 (electronic bk.)
9780585108353 (electronic bk.)
9780262161756
0262161753
9780262281270
0262281279 (E-Book)
Digital File Characteristics
text file
PDF
Note
"A Bradford book."
Bibliography Note
Includes bibliographical references and index.
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