• Position
  • Postdoctoral fellow
  • Institute
  • Spinoza Centre for Neuroimaging

Research statement

In my research, I aim to align formal cognitive theories with computational neuroscience to test and develop ideas about learning, decision-making, perception and control. My dissertation combined fMRI connectivity methods with the evaluation of voluntary behaviors (using various mathematical cognitive process models). As a post-doc, I seek to understand how perception and attention can change as a function of reward learning. My research interests include cognitive control, reinforcement learning (RL), percepetion, cortico-basal ganglia networks, effective and functional connectivity with fMRI, formal decision-making or reinforcement learning theories, and Bayesian hierarchical modelling.