Pub. Date:
MIT Press
Fundamentals of Neural Network Modeling: Neuropsychology and Cognitive Neuroscience / Edition 1

Fundamentals of Neural Network Modeling: Neuropsychology and Cognitive Neuroscience / Edition 1


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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 Alzheimer's disease.

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

Product Details

ISBN-13: 9780262161756
Publisher: MIT Press
Publication date: 12/07/1998
Series: Computational Neuroscience Series
Edition description: First Edition
Pages: 442
Product dimensions: 7.10(w) x 10.00(h) x 1.20(d)

Table of Contents

Series Foreword
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
CorticoHippocampal Interactions
Jean P. Banquet, Philippe Gaussier, Jose L. ContrerasVidal,
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 Therapeutic
Raymond L. Ownby
6 A Computational Perspective on Learned Helplessness and
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 ServanSchreiber and Jonathan D. Cohen
9 Neural Network Modeling of EXecutive Functioning with the
Tower of Hanoi Test in Frontal LobeLesioned Patients
John Cardoso and Randolph W. Parks
10 Neuronal Network Models of Acalculia and Prefrontal
Stanislas Dehaene, Laurent Cohen, and JeanPierre ChangeuX
11 Neurophyschological Assessment of Attention and Its
Disorders: Computational Models for Neglect, EXtinction, and Sustained
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 LobeDamaged 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
Lynette J. Tippett and Martha J. Farah

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