Neural Networks and Psychopathology: Connectionist Models in Practice and Research / Edition 1

Neural Networks and Psychopathology: Connectionist Models in Practice and Research / Edition 1

by Dan J. Stein
     
 

Reviews the contribution of neural network models in psychiatry and psychopathology, including diagnosis, pharmacotherapy and psychotherapy.See more details below

Overview

Reviews the contribution of neural network models in psychiatry and psychopathology, including diagnosis, pharmacotherapy and psychotherapy.

Product Details

ISBN-13:
9780521571630
Publisher:
Cambridge University Press
Publication date:
12/28/1998
Edition description:
New Edition
Pages:
371
Product dimensions:
5.98(w) x 8.98(h) x 0.94(d)

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.

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