Chris Mathys

Chris Mathys’s group develops and tests computational models of inference, learning, and action as they are implemented in the brain, with a particular focus on the role of neuromodulators such as dopamine and serotonin. A key feature of this modelling is the reduction of Bayesian inference to updates driven by precision-weighted prediction errors. For more, see Chris’s personal website.