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This article outlines how a core concept from theories of homeostasis and cybernetics, the inference-control loop, may be used to guide differential diagnosis in computational psychiatry and computational psychosomatics. In particular, we discuss 1) how conceptualizing perception and action as inference-control loops yields a joint computational perspective on brain-world and brain-body interactions and 2) how the concrete formulation of this loop as a hierarchical Bayesian model points to key computational quantities that inform a taxonomy of potential disease mechanisms. We consider the utility of this perspective for differential diagnosis in concrete clinical applications.

More information Original publication

DOI

10.1016/j.biopsych.2017.05.012

Type

Journal article

Publication Date

2017-09-15T00:00:00+00:00

Volume

82

Pages

421 - 430

Total pages

9

Keywords

Allostasis, Cybernetics, Hierarchical Bayesian model, Homeostasis, Inference, Metacognition, Prediction error, Bayes Theorem, Brain, Computer Simulation, Cybernetics, Diagnosis, Differential, Homeostasis, Humans, Mental Disorders, Metacognition, Models, Neurological