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This October the Institute of Healthcare Engineering will be hosting an Autumn Research Symposium at the Wellcome Collection, with structured sessions based around the IHE themes: prevention, monitoring, diagnostics, therapies and interventions, rehabilitation and assistive technologies.
This talk considers formal or computational approaches to psychopathology. I will use schizophrenia to offer a case study of computational psychiatry. We first review the basic phenomenology and pathophysiological theories of schizophrenia. These motivate the choice of a formal or computational framework within which to understand the symptoms and signs of schizophrenia; particularly, in terms of false beliefs or inference. This framework is the Bayesian brain. We will focus on the (neuromodulatory) encoding of uncertainty or precision within predictive coding implementations of active inference – to demonstrate computational approaches to the nature and pathogenesis of hallucinations and delusions.