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
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.