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Neural Networks and Psychopathology
Connectionist Models in Practice and Research

Dan J. Stein, Jacques Ludik, Manfred Spitzer, Eric Y. H. Chen, German E. Berrios, S. B. G. Park, Franz Caspar, David Hestenes, Sophia Vinogradov, John H. Poole, Jason Willis-Shore, Dan Lloyd, Ira L. Cohen, Gene V. Wallenstein, Michael E. Hasselmo, David V. Forrest
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  • Date Published: May 2007
  • availability: Available
  • format: Paperback
  • isbn: 9780521036061

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About the Authors
  • Research on connectionist models is one of the most exciting areas in cognitive science, and neural network models of psychopathology have immediate theoretical and empirical appeal. The contributors to this study review theoretical, historical and clinical issues, including the contribution of neural network models to diagnosis, pharmacotherapy and psychotherapy. Models are presented for a range of disorders, including schizophrenia, obsessive-compulsive disorder, dissociative phenomena, autism and Alzheimer's disease. This book will appeal to a broad audience. On the one hand, it will be read with interest by psychiatrists, psychologists and other clinicians and researchers in psychopathology. On the other, it will appeal to those working in cognitive science and artificial intelligence, and particularly those interested in neural network or connectionist models.

    • Reviews connectionist models in psychiatry
    • Provides models for psychiatric disorder and suggests approaches to diagnosis and therapy
    • Broad appeal to clinicians and researchers in psychiatry, cognitive science and neural networks research
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    Product details

    • Date Published: May 2007
    • format: Paperback
    • isbn: 9780521036061
    • length: 388 pages
    • dimensions: 228 x 150 x 22 mm
    • weight: 0.576kg
    • contains: 53 b/w illus. 6 tables
    • availability: Available
  • Table of Contents

    List of contributors
    Preface
    Part I. General Concepts:
    1. Neural networks and psychopathology: an introduction Dan J. Stein and Jacques Ludik
    2. The history of neural network research in psychopathology Manfred Spitzer
    3. Neural network models in psychiatric diagnosis and symptom recognition Eric Y. H. Chen and German E. Berrios
    4. Neural networks and psychopharmacology S. B. G. Park
    5. A connectionist view of psychotherapy Franz Caspar
    6. Modulatory mechanisms in mental disorders David Hestenes
    Part II. Clinical Disorders:
    7. The nature of delusions: a hierarchical neural network approach Eric Y. H. Chen and German E. Berrios
    8. 'Produced by either God or Satan': neural network approaches to delusional thinking Sophia Vinogradov, John H. Poole and Jason Willis-Shore
    9. Neural network modelling of cognitive disinhibition and neurotransmitter dysfunction in obsessive-compulsive disorder Jacques Ludik and Dan J. Stein
    10. The fables of Lucy R.: association and disassociation in neural networks Dan Lloyd
    11. Neural network analysis of learning in autism Ira L. Cohen
    12. Are there common neural mechanisms for learning, epilepsy and Alzheimer's disease? Gene V. Wallenstein and Michael E. Hasselmo
    Epilogue: the patient in the machine: challenges for neurocomputing David V. Forrest
    Index.

  • Editors

    Dan J. Stein, University of Stellenbosch, South Africa

    Jacques Ludik, University of Stellenbosch, South Africa

    Contributors

    Dan J. Stein, Jacques Ludik, Manfred Spitzer, Eric Y. H. Chen, German E. Berrios, S. B. G. Park, Franz Caspar, David Hestenes, Sophia Vinogradov, John H. Poole, Jason Willis-Shore, Dan Lloyd, Ira L. Cohen, Gene V. Wallenstein, Michael E. Hasselmo, David V. Forrest

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