Samuel J. Gershman, John A. Assad, Sandeep Robert Datta, Scott W. Linderman, Bernardo L. Sabatini, Naoshige Uchida, Linda Wilbrecht
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We argue that the prediction error concept, once it has been suitably modified and generalized based on an analysis of each computational problem, answers each challenge. Nonetheless, there are a number of additional empirical findings that appear to demand fundamentally different theoretical explanations beyond encoding RPE. Therefore, looking forward, we discuss the prospects for a unifying theory that respects the diversity of dopamine signaling and function as well as the complex circuitry that both underlies and responds to dopaminergic transmission. The hypothesis that dopamine reports reward prediction errors has been both influential and controversial. This Perspective characterizes the present state of evidence, indicating where it succeeds and where it falls short. A complete account of dopamine will probably need to move beyond the reward prediction error hypothesis while retaining its core explanatory power.","PeriodicalId":19076,"journal":{"name":"Nature neuroscience","volume":null,"pages":null},"PeriodicalIF":21.2000,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Explaining dopamine through prediction errors and beyond\",\"authors\":\"Samuel J. Gershman, John A. Assad, Sandeep Robert Datta, Scott W. Linderman, Bernardo L. Sabatini, Naoshige Uchida, Linda Wilbrecht\",\"doi\":\"10.1038/s41593-024-01705-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The most influential account of phasic dopamine holds that it reports reward prediction errors (RPEs). The RPE-based interpretation of dopamine signaling is, in its original form, probably too simple and fails to explain all the properties of phasic dopamine observed in behaving animals. This Perspective helps to resolve some of the conflicting interpretations of dopamine that currently exist in the literature. We focus on the following three empirical challenges to the RPE theory of dopamine: why does dopamine (1) ramp up as animals approach rewards, (2) respond to sensory and motor features and (3) influence action selection? We argue that the prediction error concept, once it has been suitably modified and generalized based on an analysis of each computational problem, answers each challenge. Nonetheless, there are a number of additional empirical findings that appear to demand fundamentally different theoretical explanations beyond encoding RPE. 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Explaining dopamine through prediction errors and beyond
The most influential account of phasic dopamine holds that it reports reward prediction errors (RPEs). The RPE-based interpretation of dopamine signaling is, in its original form, probably too simple and fails to explain all the properties of phasic dopamine observed in behaving animals. This Perspective helps to resolve some of the conflicting interpretations of dopamine that currently exist in the literature. We focus on the following three empirical challenges to the RPE theory of dopamine: why does dopamine (1) ramp up as animals approach rewards, (2) respond to sensory and motor features and (3) influence action selection? We argue that the prediction error concept, once it has been suitably modified and generalized based on an analysis of each computational problem, answers each challenge. Nonetheless, there are a number of additional empirical findings that appear to demand fundamentally different theoretical explanations beyond encoding RPE. Therefore, looking forward, we discuss the prospects for a unifying theory that respects the diversity of dopamine signaling and function as well as the complex circuitry that both underlies and responds to dopaminergic transmission. The hypothesis that dopamine reports reward prediction errors has been both influential and controversial. This Perspective characterizes the present state of evidence, indicating where it succeeds and where it falls short. A complete account of dopamine will probably need to move beyond the reward prediction error hypothesis while retaining its core explanatory power.
期刊介绍:
Nature Neuroscience, a multidisciplinary journal, publishes papers of the utmost quality and significance across all realms of neuroscience. The editors welcome contributions spanning molecular, cellular, systems, and cognitive neuroscience, along with psychophysics, computational modeling, and nervous system disorders. While no area is off-limits, studies offering fundamental insights into nervous system function receive priority.
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In addition to primary research, Nature Neuroscience features news and views, reviews, editorials, commentaries, perspectives, book reviews, and correspondence, aiming to serve as the voice of the global neuroscience community.