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dc.contributor.authorFriedman, Alexander
dc.contributor.authorHueske, Emily
dc.contributor.authorDrammis, Sabrina M
dc.contributor.authorToro Arana, Sebastian E
dc.contributor.authorNelson, Erik D
dc.contributor.authorCarter, Cody W
dc.contributor.authorDelcasso, Sebastien
dc.contributor.authorRodriguez, Raimundo X
dc.contributor.authorLutwak, Hope
dc.contributor.authorDiMarco, Kaden S
dc.contributor.authorZhang, Qingyang
dc.contributor.authorRakocevic, Lara I
dc.contributor.authorHu, Dan
dc.contributor.authorXiong, Joshua K
dc.contributor.authorZhao, Jiajia
dc.contributor.authorGibb, Leif G
dc.contributor.authorYoshida, Tomoko
dc.contributor.authorSiciliano, Cody A
dc.contributor.authorDiefenbach, Thomas J
dc.contributor.authorRamakrishnan, Charu
dc.contributor.authorDeisseroth, Karl
dc.contributor.authorGraybiel, Ann M
dc.date.accessioned2021-11-30T19:14:39Z
dc.date.available2021-11-30T19:14:39Z
dc.date.issued2020
dc.identifier.urihttps://hdl.handle.net/1721.1/138257
dc.description.abstract© 2020 Elsevier Inc. Friedman et al. find that specialized regions of the striatum, a key part of the brain's movement and motivation control system, are essential for learning about the values of good and bad outcomes of decisions. The learning signals in striosomes scale according to subjective value and are vulnerable to decline with aging and in neurodegenerative disorders.en_US
dc.language.isoen
dc.publisherElsevier BVen_US
dc.relation.isversionof10.1016/J.CELL.2020.09.060en_US
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivs Licenseen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_US
dc.sourcePMCen_US
dc.titleStriosomes Mediate Value-Based Learning Vulnerable in Age and a Huntington’s Disease Modelen_US
dc.typeArticleen_US
dc.identifier.citationFriedman, Alexander, Hueske, Emily, Drammis, Sabrina M, Toro Arana, Sebastian E, Nelson, Erik D et al. 2020. "Striosomes Mediate Value-Based Learning Vulnerable in Age and a Huntington’s Disease Model." Cell, 183 (4).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciences
dc.contributor.departmentMcGovern Institute for Brain Research at MIT
dc.contributor.departmentRagon Institute of MGH, MIT and Harvard
dc.relation.journalCellen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2021-11-30T19:06:56Z
dspace.orderedauthorsFriedman, A; Hueske, E; Drammis, SM; Toro Arana, SE; Nelson, ED; Carter, CW; Delcasso, S; Rodriguez, RX; Lutwak, H; DiMarco, KS; Zhang, Q; Rakocevic, LI; Hu, D; Xiong, JK; Zhao, J; Gibb, LG; Yoshida, T; Siciliano, CA; Diefenbach, TJ; Ramakrishnan, C; Deisseroth, K; Graybiel, AMen_US
dspace.date.submission2021-11-30T19:07:06Z
mit.journal.volume183en_US
mit.journal.issue4en_US
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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