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dc.contributor.authorBrowning, Michael
dc.identifier.citationQuentin J M Huys, Michael Browning, Martin Paulus, Michael J Frank. Advances in the computational understanding of mental illness. Neuropsychopharmacology . 2020 Jul 3en
dc.description.abstractComputational psychiatry is a rapidly growing field attempting to translate advances in computational neuroscience and machine learning into improved outcomes for patients suffering from mental illness. It encompasses both data-driven and theory-driven efforts. Here, recent advances in theory-driven work are reviewed. We argue that the brain is a computational organ. As such, an understanding of the illnesses arising from it will require a computational framework. The review divides work up into three theoretical approaches that have deep mathematical connections: dynamical systems, Bayesian inference and reinforcement learning. We discuss both general and specific challenges for the field, and suggest ways forward.en
dc.description.sponsorshipSupported by the NIHR
dc.description.urihttps://DOI: 10.1038/s41386-020-0746-4en
dc.titleAdvances in the computational understanding of mental illnessen

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