Computational Psychiatry

Dayan, P

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Computational Psychiatry

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Dayan, P
Department of Computational Neuroscience, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Dayan, P. (2021). Computational Psychiatry. Talk presented at Workshop: Minds, Models and Mechanisms: Current Trends in Philosophy of Psychiatry. Saarbrücken, Germany. 2021-04-20 - 2021-04-21.

Cite as: https://hdl.handle.net/21.11116/0000-000A-DA24-8

Abstract

The nascent field of computational psychiatry includes the application of computational and statistical methods to understand dysfunction in psychiatric disease through the medium of normal information processing and cognition. I will discuss our attempts to use Bayesian decision theory to provide a framework for understanding disorders – coarsely, solving the wrong problem, solving the right problem incorrectly, or solving the right problem correctly, but in the wrong environment. I will illustrate aspects of these flaws using examples drawn from anhedonia, rumination and learned helplessness.