Modelling the brain and behaviour in schizophrenia
A large amount of genetic and pharmacological evidence indicates that hypofunction of NMDA receptors (key glutamatergic receptors in the nervous system) is a key pathology in schizophrenia. How function of this receptor might affect more macroscopic brain events is slowly being established, using computational models of how brain networks create electrophysiological potentials and also how it performs inference. I shall present some results of modelling both EEG data and subjects' inferences in a probabilistic task, in controls and subjects with a diagnosis of schizophrenia. I will show how we can make inferences about inhibitory interneuron function in schizophrenia and NMDA receptors themselves from EEG data, and how changes in probabilistic inference in schizophrenia may relate to abnormal network dynamics.