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The first introductory textbook in the emerging, fast-developing field of computational psychiatry.Computational psychiatry applies computational modeling and theoretical approaches to psychiatric questions, focusing on building mathematical models of neural or cognitive phenomena relevant to psychiatric diseases. It is a young and rapidly growing field, drawing on concepts from psychiatry, psychology, computer science, neuroscience, electrical and chemical engineering, mathematics, and physics. This book, accessible to nonspecialists, offers the first introductory textbook in computational psychiatry.
After more than 100 years of psychological theories, psychopharmacological research, and clinical experience, the challenges of understanding and treating mental illness remain. Computational psychiatry seeks to explain how psychiatric dysfunction may emerge mechanistically, and how it may be classified, predicted, and clinically addressed. It has the potential to bridge advances in neuroscience and clinical applications, connecting low-level biological features with high-level cognitive features. After a survey of computational psychiatry methods, the book covers biologically detailed models of working memory and decision making and computational models of cognitive control. It then describes the application of computational approaches to schizophrenia, depression, anxiety, addiction, and Tourette's syndrome. Finally, the book briefly discusses additional disorders and offers guidelines for future research. Chapters also offer discussions of related issues, chapter summaries, and suggestions for further study. The book can be used as a textbook by students and as a reference for scientists and clinicians interested in applying computational models to diagnosis and treatment strategies.
List of contents
CHAPTER 1: INTRODUCTION: TOWARD A COMPUTATIONAL APPROACH TO PSYCHIATRY
CHAPTER 2: METHODS OF COMPUTATIONAL PSYCHIATRY: A BRIEF SURVEY
CHAPTER 3: BIOPHYSICALLY BASED NEURAL CIRCUIT MODELING OF WORKING MEMORY AND DECISION MAKING AND RELATED PSYCHIATRIC DEFICITS
CHAPTER 4: COMPUTATIONAL MODELS OF COGNITIVE CONTROL: PAST AND CURRENT APPROACHES
CHAPTER 5: THE VALUE OF ALMOST EVERYTHING: MODELS OF THE POSITIVE AND NEGATIVE VALENCE SYSTEMS AND THEIR RELEVANCE TO PSYCHIATRY
CHAPTER 6: PSYCHOSIS AND SCHIZOPHRENIA FROM A COMPUTATIONAL PERSPECTIVE
CHAPTER 7: DEPRESSIVE DISORDERS FROM A COMPUTATIONAL PERSPECTIVE
CHAPTER 8: ANXIETY DISORDERS FROM A COMPUTATIONAL PERSPECTIVE
CHAPTER 9: ADDICTION FROM A COMPUTATIONAL PERSPECTIVE
CHAPTER 10 : TOURETTE SYNDROME FROM A COMPUTATIONAL PERSPECTIVE
CHAPTER 11: PERSPECTIVES AND FURTHER STUDY IN COMPUTATIONAL PSYCHIATRY
About the author
Peggy Seriès is Senior Lecturer in Computational Neuroscience and Psychiatry at the Institute for Adaptive and Neural Computation at the University of Edinburgh.
Summary
The first introductory textbook in the emerging, fast-developing field of computational psychiatry.Computational psychiatry applies computational modeling and theoretical approaches to psychiatric questions, focusing on building mathematical models of neural or cognitive phenomena relevant to psychiatric diseases. It is a young and rapidly growing field, drawing on concepts from psychiatry, psychology, computer science, neuroscience, electrical and chemical engineering, mathematics, and physics. This book, accessible to nonspecialists, offers the first introductory textbook in computational psychiatry.
After more than 100 years of psychological theories, psychopharmacological research, and clinical experience, the challenges of understanding and treating mental illness remain. Computational psychiatry seeks to explain how psychiatric dysfunction may emerge mechanistically, and how it may be classified, predicted, and clinically addressed. It has the potential to bridge advances in neuroscience and clinical applications, connecting low-level biological features with high-level cognitive features. After a survey of computational psychiatry methods, the book covers biologically detailed models of working memory and decision making and computational models of cognitive control. It then describes the application of computational approaches to schizophrenia, depression, anxiety, addiction, and Tourette's syndrome. Finally, the book briefly discusses additional disorders and offers guidelines for future research. Chapters also offer discussions of related issues, chapter summaries, and suggestions for further study. The book can be used as a textbook by students and as a reference for scientists and clinicians interested in applying computational models to diagnosis and treatment strategies.
