Chunk #45 — EXPERIMENTAL PROCEDURES — Statistical Analysis of Functional Imaging Data

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States versus rewards: dissociable neural prediction error signals underlying model-based and model-free reinforcement learning.

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These subject-specific design matrices were estimated and 3 beta images for the prediction error signals (SPE from both sessions, RPE from session 2) were entered into a repeated measures ANOVA with factors error (RPE, SPE) and session (sess1, sess2) correcting for non-spherical distribution of the error term to test for a significant effect across the entire group.