date: 2016-09-08T08:03:51Z pdf:PDFVersion: 1.6 pdf:docinfo:title: Effects of PPP1R1B (DARPP-32) polymorphism on feedback-related brain potentials across the life span xmp:CreatorTool: LaTeX with hyperref package access_permission:can_print_degraded: true subject: Maximizing gains during probabilistic reinforcement learning requires the updating of choice ? outcome expectations at the time when the feedback about a specific choice or action is given. dc:format: application/pdf; version=1.6 pdf:docinfo:creator_tool: LaTeX with hyperref package access_permission:fill_in_form: true pdf:encrypted: false dc:title: Effects of PPP1R1B (DARPP-32) polymorphism on feedback-related brain potentials across the life span modified: 2016-09-08T08:03:51Z cp:subject: Maximizing gains during probabilistic reinforcement learning requires the updating of choice ? outcome expectations at the time when the feedback about a specific choice or action is given. pdf:docinfo:subject: Maximizing gains during probabilistic reinforcement learning requires the updating of choice ? outcome expectations at the time when the feedback about a specific choice or action is given. pdf:docinfo:creator: Dorothea Hämmerer and Shu-Chen Li PTEX.Fullbanner: This is MiKTeX-pdfTeX 2.9.4535 (1.40.13) meta:author: Dorothea Hämmerer and Shu-Chen Li trapped: False meta:creation-date: 2013-03-01T09:13:06Z created: 2013-03-01T09:13:06Z access_permission:extract_for_accessibility: true Creation-Date: 2013-03-01T09:13:06Z Author: Dorothea Hämmerer and Shu-Chen Li producer: pdfTeX-1.40.13 pdf:docinfo:producer: pdfTeX-1.40.13 pdf:unmappedUnicodeCharsPerPage: 0 dc:description: Maximizing gains during probabilistic reinforcement learning requires the updating of choice ? outcome expectations at the time when the feedback about a specific choice or action is given. Keywords: PPP1R1B (DARPP-32), dopamine, reward, reinforcement learning, child development, aging access_permission:modify_annotations: true dc:creator: Dorothea Hämmerer and Shu-Chen Li description: Maximizing gains during probabilistic reinforcement learning requires the updating of choice ? outcome expectations at the time when the feedback about a specific choice or action is given. dcterms:created: 2013-03-01T09:13:06Z Last-Modified: 2016-09-08T08:03:51Z dcterms:modified: 2016-09-08T08:03:51Z title: Effects of PPP1R1B (DARPP-32) polymorphism on feedback-related brain potentials across the life span xmpMM:DocumentID: uuid:08f0fff8-4f28-449d-ba6c-a6216ed69c7d Last-Save-Date: 2016-09-08T08:03:51Z pdf:docinfo:keywords: PPP1R1B (DARPP-32), dopamine, reward, reinforcement learning, child development, aging pdf:docinfo:modified: 2016-09-08T08:03:51Z meta:save-date: 2016-09-08T08:03:51Z pdf:docinfo:custom:PTEX.Fullbanner: This is MiKTeX-pdfTeX 2.9.4535 (1.40.13) Content-Type: application/pdf X-Parsed-By: org.apache.tika.parser.DefaultParser creator: Dorothea Hämmerer and Shu-Chen Li dc:subject: PPP1R1B (DARPP-32), dopamine, reward, reinforcement learning, child development, aging access_permission:assemble_document: true xmpTPg:NPages: 8 pdf:charsPerPage: 4686 access_permission:extract_content: true access_permission:can_print: true pdf:docinfo:trapped: False meta:keyword: PPP1R1B (DARPP-32), dopamine, reward, reinforcement learning, child development, aging access_permission:can_modify: true pdf:docinfo:created: 2013-03-01T09:13:06Z