Dissociating the contributions of reward-prediction errors to trial-level adaptation and long-term learning
Abstract
Reward positivity (RewP) is an EEG component reflecting reward-prediction errors. Using multilevel models, we measured single-trial RewP amplitude from trial-to-trial, while reward and prediction varied during learning. Sixty participants completed a category-learning task in either engaging or sterile conditions with the RewP time-locked to feedback. Sequential analysis of single-trial RewP showed its relationship to current and previous...
Paper Details
Title
Dissociating the contributions of reward-prediction errors to trial-level adaptation and long-term learning
Published Date
Jan 1, 2020
Journal
Volume
149
Pages
107775 - 107775
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History