Arbeitsbereich Neurocomputation and Neuroimaging
In my research, I investigate perceptual decision-making throughout different contexts and modalities. I am particularly interested in understanding the precise and mechanistic role of reward on perceptual decisions.
To achieve a better understanding of the underlying neuronal processes of perceptual decision-making, I combine behavioural measures with univariate and multivariate neuroimaging techniques (e.g. Multi-Voxel Pattern Analysis).
Furthermore, I aim to develop computational models based on the Active Inference Framework to gain a better understanding of the computational principles underlying such decision processes. More specifically, I want to use Partially Observable Markov Decision Processes (POMDPs) to model behavioural and neuronal processes of decision-making to ultimately predict and explain empirical data.
Froelich, S., Esmeyer, M., Endrass, T., Smolka, M. N., & Kiebel, S. J. (2022). Interaction of automatic motor and goal-directed behavior under time pressure.
Scherbaum, S.; Dshemuchadse, M.; Esmeyer, M.; Herbers, J.; Maurer, P.; Reichert, M.; Rolf, D.; Wehner, P.; Vogel, D.; Rudolf, M.: Let's play with Statistics! In: HDS.Journal 2020,2 (2020), S. 41–43