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Abstract
Information related to rewards is processed by a limited number of brain structures.
Recent studies have demonstrated that dopamine neurons respond to appetitive events,
such as primary rewards and reward-predicting stimuli. Rather than responding unconditionally,
these neurons signal deviations from the prediction of future appetitive events. These
reward-related responses correspond formally to concepts of behavioral and computational
learning theories and may thus constitute teaching signals for appetitive learning.