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Neural Networks and Psychopathology: Connectionist Models in Practice and Research

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More About This Textbook

Overview

Research on connectionist models is one of the most exciting areas in cognitive science, and this pioneering book review s theoretical, historical and clinical issues, including the contribution of neural network models to diagnosis, pharmacotherapy and psychotherapy. It will be read with interest by psychiatrists, psychologists and other clinicians and researchers in psychopathology, and will appeal to those working in cognitive science and artificial intelligence, and particularly those interested in neural network or connectionist models.

The book contains black-and-white illustrations.

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Product Details

  • ISBN-13: 9780521036061
  • Publisher: Cambridge University Press
  • Publication date: 5/28/2007
  • Pages: 388
  • Product dimensions: 5.98 (w) x 8.98 (h) x 0.87 (d)

Table of Contents

List of contributors
Preface
Pt. 1 General concepts
1 Neural networks and psychopathology: an introduction 3
2 The history of neural network research in psychopathology 14
3 Neural network models in psychiatric diagnosis and symptom recognition 34
4 Neural networks and psychopharmacology 57
5 A connectionist view of psychotherapy 88
6 Modulatory mechanisms in mental disorders 132
Pt. 2 Clinical disorders
7 The nature of delusions: a hierarchical neural network approach 167
8 'Produced by either God or Satan': neural network approaches to delusional thinking 189
9 Neural network modelling of cognitive disinhibition and neurotransmitter dysfunction in obsessive-compulsive disorder 231
10 The fables of Lucy R.: association and dissociation in neural networks 248
11 Neural network analysis of learning in autism 274
12 Are there common neural mechanisms for learning, epilepsy, and Alzheimer's disease? 316
Epilogue: The patient in the machine: challenges for neurocomputing 347
Index 363
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