Reinforcement learning mechanisms in the human brain: Insights from model-based fMRI
This chapter discusses evidence for the applicability of reinforcement learning models to reward-learning and reward-based action selection in humans, with a particular emphasis on data derived from functional magnetic resonance imaging (fMRI) studies. It begins with a description of basic mechanisms by which predictions of future reward as well as punishment can be learned, and their associated neural bases. It then considers the mechanisms underlying action selection for reward, as well as in learning to avoid punishers. It also reviews instances where findings from functional neuroimaging studies are inconsistent with a simple reinforcement learning framework, and discusses the implications of these results for the development of a more complete theory of human choice.
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