Chunk #35 — EXPERIMENTAL PROCEDURES — Computational Learning Models

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

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We implemented three learning models, which hypothesize different methods by which participants might use experience with states, actions, and rewards to learn choice preferences.