Neural networks and psychopathology : connectionist models in practice and research /

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Bibliographic Details
Imprint:	Cambridge ; New York : Cambridge University Press, 1998.
Description:	1 online resource (xiii, 371 pages) : illustrations
Language:	English
Subject:	Psychology, Pathological -- Computer simulation. Neural networks (Neurobiology) Cognitive psychology. Neural networks (Computer science) Neural Networks, Computer. Mental Disorders -- physiopathology. Neural networks (Computer science) Mental Disorders -- diagnosis. Mental Disorders -- therapy. Psychopathology -- methods. Cognitive psychology. Neural networks (Computer science) Neural networks (Neurobiology) Electronic book.
Format:	E-Resource Book
URL for this record:	http://pi.lib.uchicago.edu/1001/cat/bib/11129906

Hidden Bibliographic Details
Other authors / contributors:	Stein, Dan J. Ludik, Jacques, 1960-
ISBN:	0511039719 9780511039713 0511053681 9780511053689 0511116497 9780511116490 9780521571630 0521571634 9786610161676 6610161674 0511038445 9780511038440 0521571634
Digital file characteristics:	data file
Notes:	Includes bibliographical references and index. Print version record.
Summary:	Reviews theoretical, historical and clinical issues, including the contribution of neural network models to diagnosis, pharmacotherapy and psychotherapy. It will interest clinicians and researchers in psychiatry and psychopathology and those working in cognitive science and artificial intelligence.
Other form:	Print version: Neural networks and psychopathology. Cambridge ; New York : Cambridge University Press, 1998 0521571634

Table of Contents:

List of contributors
Preface
Part I. General Concepts
1. Neural networks and psychopathology: an introduction
2. The history of neural network research in psychopathology
3. Neural network models in psychiatric diagnosis and symptom recognition
4. Neural networks and psychopharmacology
5. A connectionist view of psychotherapy
6. Modulatory mechanisms in mental disorders
Part II. Clinical Disorders
7. The nature of delusions: a hierarchical neural network approach
8. 'Produced by either God or Satan': neural network approaches to delusional thinking
9. Neural network modelling of cognitive disinhibition and neurotransmitter dysfunction in obsessive-compulsive disorder
10. The fables of Lucy R.: association and disassociation in neural networks
11. Neural network analysis of learning in autism
12. Are there common neural mechanisms for learning, epilepsy and Alzheimer's disease?
Epilogue: the patient in the machine: challenges for neurocomputing
Index

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