title: Principles of pleasure prediction: specifying the neural dynamics of human reward learning.
abstract: Accumulating evidence from nonhuman primates suggests that midbrain dopamine cells code reward prediction errors and that this signal subserves reward learning in dopamine-receiving brain structures. In this issue of Neuron, McClure et al. and O'Doherty et al. use event-related fMRI to provide some of the strongest evidence to date that the reward prediction error model of dopamine system activity applies equally well to human reward learning.
authors.affiliation: Department of Psychology, Washington University, St. Louis, MO 63139, USA.
authors.forename: Todd S
authors.initials: TS
authors.lastname: Braver
authors.forename: Joshua W
authors.initials: JW
authors.lastname: Brown
mesh_terms: D000818:Animals; D001921:Brain / Q000502:physiology; D003214:Conditioning, Classical / Q000502:physiology; D003463:Cues; D004298:Dopamine / Q000502:physiology; D000882:Haplorhini; D006801:Humans; D007858:Learning / Q000502:physiology*; D008279:Magnetic Resonance Imaging; D009474:Neurons / Q000502:physiology*; D012201:Reward
chemical_list: D004298:Dopamine