Components and Characteristics of the Dopamine Reward Utility Signal
Journal of Comparative Neurology
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Stauffer, W., Lak, A., Kobayashi, S., & Schultz, W. (2015). Components and Characteristics of the Dopamine Reward Utility Signal. Journal of Comparative Neurology, 524 1699-1711. https://doi.org/10.1002/cne.23880
Rewards are defined by their behavioral functions in learning (positive reinforcement), approach behavior, economic choices, and emotions. Dopamine neurons respond to rewards with two components, similar to higher order sensory and cognitive neurons. The initial, rapid, unselective dopamine detection component reports all salient environmental events irrespective of their reward association. It is highly sensitive to factors related to reward and thus detects a maximal number of potential rewards. It also senses aversive stimuli but reports their physical impact rather than their aversiveness. The second response component processes reward value accurately and starts early enough to prevent confusion with unrewarded stimuli and objects. It codes reward value as a numeric, quantitative utility prediction error, consistent with formal concepts of economic decision theory. Thus, the dopamine reward signal is fast, highly sensitive and appropriate for driving and updating economic decisions.
stimulus components, subjective value, temporal discounting, utility, risk, neuroeconomics
Grant sponsor: the Wellcome Trust; Grant sponsor: the European Research Council (ERC); Grant sponsor: the National Institutes of Health Conte Center at Caltech.
Wellcome Trust (095495/Z/11/Z)
External DOI: https://doi.org/10.1002/cne.23880
This record's URL: https://www.repository.cam.ac.uk/handle/1810/251094
Attribution 2.0 UK: England & Wales
Licence URL: http://creativecommons.org/licenses/by/2.0/uk/
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