How the level of reward awareness changes the computational and electrophysiological signatures of reinforcement learning
Camile Maria Costa Corrêa, Samuel Noorman, Jun Jiang, Stefano Palminteri, Michael X Cohen, Maël P. Lebreton, Simon van Gaal
This study investigates how reward awareness affects reinforcement learning by combining computational modeling and EEG, showing that reduced reward visibility impairs learning but increases repetition of previous choices.
Journal of Neuroscience · Oct 16, 2018Peer-reviewedNeuroscience