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dc.contributor.authorGershman, Samuel J.
dc.date.accessioned2014-03-24T14:53:03Z
dc.date.available2014-03-24T14:53:03Z
dc.date.issued2014-02
dc.date.submitted2013-08
dc.identifier.issn0899-7667
dc.identifier.issn1530-888X
dc.identifier.urihttp://hdl.handle.net/1721.1/85900
dc.description.abstractTemporal difference learning models of dopamine assert that phasic levels of dopamine encode a reward prediction error. However, this hypothesis has been challenged by recent observations of gradually ramping stratal dopamine levels as a goal is approached. This note describes conditions under which temporal difference learning models predict dopamine ramping. The key idea is representational: a quadratic transformation of proximity to the goal implies approximately linear ramping, as observed experimentally.en_US
dc.description.sponsorshipMIT Intelligence Initiative (Postdoctoral Fellowship)en_US
dc.language.isoen_US
dc.publisherMIT Pressen_US
dc.relation.isversionofhttp://dx.doi.org/10.1162/NECO_a_00559en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceMIT Pressen_US
dc.titleDopamine Ramps Are a Consequence of Reward Prediction Errorsen_US
dc.typeArticleen_US
dc.identifier.citationGershman, Samuel J. “Dopamine Ramps Are a Consequence of Reward Prediction Errors.” Neural Computation 26, no. 3 (March 2014): 467–471. © 2014 Massachusetts Institute of Technologyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.contributor.mitauthorGershman, Samuel J.en_US
dc.relation.journalNeural Computationen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsGershman, Samuel J.en_US
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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