Fundamentals of Neural Network Modeling

Neuropsychology and Cognitive Neuroscience
Overview

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

Table of Contents

  1. Series Foreword
  2. Preface
  3. Contributors
  4. I. Introduction to Neural Networks
  5. 1. An Introduction to Neural Network Modeling: Merits, Limitations, and Controversies

    Debra L. Long, Randolph W. Parks and Daniel S. Levine

  6. 2. Functional Cognitive Networks in Primates

    J. Wesson Ashford, Kerry L. Coburn and Joaquin M. Fuster

  7. 3. Attention and Neural Networks

    Michael I. Posner and Rajendra D. Badgaiyan

  8. 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

  9. II. Behavioral States
  10. 5. A Computational Model of Alcohol Dependence: Simulation of Genetic Differences in Alcohol Preference and of Therepeutic Strategies

    Raymond L. Ownby

  11. 6. A Computational Perspective on Learned Helplessness and Depression

    Sam Leven

  12. 7. Waking and Sleeping States

    Jeffrey P. Sutton and J. Allan Hobson

  13. III. Neuropsychological Tests and Clinical Syndromes
  14. 8. Stroop Task, Language, and Neuromodulation: Models of Cognitive Deficits in Schizophrenia

    David Servan-Schreiber and Jonathan D. Cohen

  15. 9. Neural Network Modeling of Executive Functioning with the Tower of Hanoi Test in Frontal Lobe-Lesioned Patientcs

    John Cardoso and Randolph W. Parks

  16. 10. Neuronal Network Models of Acalculia and Prefrontal Deficits

    Stanislas Dehaene, Laurent Cohen and Jean-Pierre Changeux

  17. 11. Neuropsychological Assessment of Attention and Its Disorders: Computational Models for Neglect, Extinction, and Sustained Attention

    Raymond L. Ownby and Dylan G. Harwood

  18. 12. The Neural Basis of Lexical Retrieval

    Daniel Tranel, Hanna Damasio and Antonio R. Damasio

  19. IV. Applications in Dementia
  20. 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

  21. 14. Neural Network Modeling of Basal Ganglia Function in Parkinson's Disease and Related Disorders

    Roderick K. Mahurin

  22. 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

  23. 16. Semantic Network Abnormalities in Patients with Alzheimer's Disease

    Agnes S. Chan, David P. Salmon and Nelson Butters

  24. 17. Parallel Distributed Processing Models in Alzheimer's Disease

    Lynette J. Tippett and Martha J. Farah

  25. Index