APS
2026 APS Annual Convention · 2026
Differentiating Effort-Based and Probabilistic Reward Processing across the ERP Time Course
- Josh T Yang
Josh Yang
Abstract
The proposed study will examine how effort-based and probabilistic rewards shape anticipatory and outcome-related ERP components (SPN, RewP, P3). Fifty adults will complete a time-estimation task and a probabilistic reward task during EEG recording. Findings will clarify how effort shapes anticipatory and outcome-related reward signals, advancing our understanding of motivation.