The computational anatomy of psychosis

Munich Psychiatry Lecture Series | MPLS

  • Date: May 22, 2018
  • Time: 03:00 PM - 04:00 PM (Local Time Germany)
  • Speaker: Karl Friston
  • Wellcome Principal Research Fellow and Scientific Director | Wellcome Trust Centre for Neuroimaging | Institute of Neurology, University College London | UK
  • Location: Max Planck Institute of Psychiatry
  • Room: Lecture Hall
  • Host: Dimitris Bolis
  • Contact: dimitris_bolis@psych.mpg.de
The computational anatomy of psychosis
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.

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