Date created: | Last Updated:

Category: Project

Description: We are investigating whether valenced and unvalenced prediction errors can be used to explain reaction time behavior in a goal-directed sequential decision making task. Specifically, we ask whether a Successor Representation model can account for more variance in the reaction time data than common reinforcement- and statistical learning models. Additionally, we look for biases in choice behavior and a post-hoc association test which can identify a hierarchical representation of the structure of our task.