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.