PubMed
Reward Prediction-Error Fidelity: a testable hypothesis linking reinforcement learning mechanisms to applied behavior analysis for autism and neurodevelopmental conditions.
Applied behavior analysis (ABA) has developed an effective technology of reinforcement delivery, including Discrete Trial Training, Natural Environment Teaching, and token economies, largely on functional-behavioral grounds. Computational neuroscience has independently produced formal accounts of reinforcement learning centered on prediction errors and credit assignment. I propose a testable hypothesis connecting the two: the effectiveness of a reinforcement procedure depends on the quality of t...
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