Monetary feedback modulates performance and electrophysiological indices of belief updating in reward learning.
Daniel Bennett, Karen Sasmita, Ryan T Maloney, Carsten Murawski, Stefan Bode
Psychophysiology | Wiley | Published : 2019
Belief updating entails the incorporation of new information about the environment into internal models of the world. Bayesian inference is the statistically optimal strategy for performing belief updating in the presence of uncertainty. An important open question is whether the use of cognitive strategies that implement Bayesian inference is dependent upon motivational state and, if so, how this is reflected in electrophysiological signatures of belief updating in the brain. Here, we recorded the EEG of participants performing a simple reward learning task with both monetary and nonmonetary instructive feedback conditions. Our aim was to distinguish the influence of the rewarding properties..View full abstract
Related Projects (1)
Awarded by Australian Research Council
The University of Melbourne Faculty of Business and Economics Strategic Initiatives Fund grant (to C.M., S.B.); Australian Research Council Discovery Early Career Researcher Award (DE 140100350) (to S.B.)