Neural Networks and Psychopathology: Connectionist Models in Practice and Research,9780521571630

Neural Networks and Psychopathology: Connectionist Models in Practice and Research

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ISBN13: 9780521571630
ISBN10: 0521571634
Format: Hardcover
Pub. Date: 1999-01-28
Publisher(s): Cambridge University Press
List Price: $169.00

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Summary

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.

Table of Contents

List of contributors ix(2)
Preface xi
Part one: General concepts 3(164)
1 Neural networks and psychopathology: an introduction
3(11)
Dan J. Stein
Jacques Ludik
2 The history of neural network research in psychopathology
14(20)
Manfred Spitzer
3 Neural network models in psychiatric diagnosis and symptom recognition
34(23)
Eric Y.H. Chen
German E. Berrios
4 Neural networks and psychopharmacology
57(31)
S.B.G. Park
5 A connectionist view of psychotherapy
88(44)
Franz Caspar
6 Modulatory mechanisms in mental disorders
132(35)
David Hestenes
Part two: Clinical disorders 167(180)
7 The nature of delusions: a hierarchical neural network approach
167(22)
Eric Y.H. Chen
German E. Berrios
8 `Produced by either God or Satan': neural network approaches to delusional thinking
189(42)
Sophia Vinogradov
John H. Poole
Jason Willis-Shore
9 Neural network modelling of cognitive disinhibition and neurotransmitter dysfunction in obsessive-compulsive disorder
231(17)
Jacques Ludik
Dan J. Stein
10 The fables of Lucy R.: association and dissociation in neural networks
248(26)
Dan Lloyd
11 Neural network analysis of learning in autism
274(42)
Ira L. Cohen
12 Are there common neural mechanisms for learning, epilepsy, and Alzheimer's disease?
316(31)
Gene V. Wallenstein
Michael E. Hasselmo
Epilogue The patient in the machine: challenges for neurocomputing 347(16)
David V. Forrest
Index 363

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