Neural Networks and Psychopathology: Connectionist Models in Practice and Research

by Edited by Dan J. Stein , Jacques Ludik

• ISBN13: 9780521571630
• ISBN10: 0521571634
• Format: Hardcover
• Copyright: 1999-01-28
• Publisher: Cambridge University Press

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