Neural networks and psychopathology: connectionist models in practice and research

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 neur...

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Bibliographic Details
Other Authors: Stein, Dan J. (Editor), Ludik, Jacques 1960- (Editor)
Format: Electronic eBook
Language:English
Published: Cambridge Cambridge University Press 1998
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Online Access:BSB01
FHN01
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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
Item Description:Title from publisher's bibliographic system (viewed on 05 Oct 2015)
Physical Description:1 online resource (xiii, 371 pages)
ISBN:9780511547195
DOI:10.1017/CBO9780511547195

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