Japanese Journal of Biological Psychiatry
Online ISSN : 2186-6465
Print ISSN : 2186-6619
Computational psychiatry : understanding psychiatric disorders using computational modeling
Yuichi Yamashita
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2019 Volume 30 Issue 3 Pages 114-116

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Abstract

Computational psychiatry is a new research field which seeks to understand mental disorders as aberrant computation by using mathematical modeling of information processing in the brain. Thanks to some exciting discoveries in computational neuroscience that addressed underlying neurobiology of cognitive function, expectations for the contributions of computational approach to psychiatric disorders have been increasing. In recent years, since use of mathematical models in the scientific research, such as machine learning, artificial intelligence and data science (big‐data) , has become popular, it has got easier to obtain cooperation for the studies of psychiatry from researchers with mathematical and theoretical backgrounds. However, that is especially, involvements of psychiatrist with clinical experiences and sophisticated expertise of psychiatric symptomatology and psychopathology are vital for the studies of computational psychiatry. In order to encourage involvements of young psychiatrists in computational psychiatry, I will introduce how a clinical psychiatrist without any experiences of basic research and mathematical/theoretical background has struggled with the studies of computational neuroscience/psychiatry, including neural network modeling of cognitive functions and robotic models of psychiatric disorders.

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© 2019 Japanese Society of Biological Psychiatry
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