Neural dissociation between reward and salience prediction errors through the lens of optimistic bias.

ABSTRACT: The question of how the brain represents reward prediction errors is central to reinforcement learning and adaptive, goal-directed behavior. Previous studies have revealed prediction error representations in multiple electrophysiological signatures, but it remains elusive whether these electrophysiological correlates underlying prediction errors are sensitive to valence (in a signed form) or to salience (in an unsigned form). One possible reason concerns the loose correspondence between objective probability and subjective prediction resulting from the optimistic bias, that is, the tendency to overestimate the likelihood of encountering positive future events. In the present electroencephalography (EEG) study, we approached this question by directly measuring participants' idiosyncratic, t

SUBMITTER: Zheng Y 

PROVIDER: S-EPMC10365237 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature