In our everyday life, we are constantly confronted with conflicting irrelevant information that we have to overcome in order to carry out actions or decisions more efficiently. In this project, we use neurophysiologival and behavioural measures to investigate how such cognitive adaptations (conflict monitoring) can be better understood in terms of reinforcement learning principles (e.g., reward prediction errors, associative learning).