We investigate reinforcement learning and decision making in healthy humans by combining neuroimaging (fMRI and MEG) with computational modelling (algorithmic or biophysical). We also manipulate neurochemical activity with drug challenges and measure neurotransmitter content with MR spectroscopy. A recent interest is the role of neural oscillations in fast decision making and in volaltile neural representations of task space.
