Our group is interested in tracking down these values in the brain and the representation of choice options using computational modeling of choice behavior in combination with fMRI and more recently with EEG. This approach allows us to identify neural structures that participate in the computation of expected values and their updating through learning. More recently, we have been focussing decision making in real-time social interactions and seek to understand how social reasoning about others affect our own choices. To this end, we are developing computational models that combine and integrate social information from others with one’s own valuation process. Moreover, we also investigate how stimulus properties, pharmacological manupilations, behavioral genetics are biasing human decision-making. If you want to learn more about our research, go here.