このアイテムのアクセス数: 83
このアイテムのファイル:
ファイル | 記述 | サイズ | フォーマット | |
---|---|---|---|---|
pnas.2206067119.pdf | 1.92 MB | Adobe PDF | 見る/開く |
完全メタデータレコード
DCフィールド | 値 | 言語 |
---|---|---|
dc.contributor.author | Hamaguchi, Kosuke | en |
dc.contributor.author | Takahashi-Aoki, Hiromi | en |
dc.contributor.author | Watanabe, Dai | en |
dc.contributor.alternative | 濱口, 航介 | ja |
dc.contributor.alternative | 高橋(青木), 裕美 | ja |
dc.contributor.alternative | 渡邉, 大 | ja |
dc.date.accessioned | 2023-05-26T00:07:58Z | - |
dc.date.available | 2023-05-26T00:07:58Z | - |
dc.date.issued | 2022-11 | - |
dc.identifier.uri | http://hdl.handle.net/2433/282827 | - |
dc.description | 予測に基づいて行動を選ぶ脳の回路の発見 --2次運動野が担う予測的な行動選択--. 京都大学プレスリリース. 2023-01-30. | ja |
dc.description.abstract | Animals must flexibly estimate the value of their actions (action-value) to successfully adapt to a changing environment. The brain is thought to estimate action-values from two different sources, namely the action-outcome history (retrospective value) and the knowledge of the environment (prospective value), but how different estimates of action-values are reconciled to make a choice is not well understood. Here we found that as mice learn the state-transition structure of a decision-making task, retrospective and prospective values become jointly encoded in the preparatory activity of neurons in ALM. Suppressing this preparatory activity in expert mice returned their behavior to a naïve state. These results reveal the neural circuit that injects structural knowledge into action selection to promote predictive decision-making. | en |
dc.language.iso | eng | - |
dc.publisher | National Academy of Sciences | en |
dc.rights | Copyright © 2022 the Author(s). Published by PNAS. | en |
dc.rights | This article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND). | en |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/4.0/ | - |
dc.subject | DECISION-MAKING | en |
dc.subject | PREPARATORY ACTIVITY | en |
dc.subject | STATE TRANSITION | en |
dc.subject | PREDICTION | en |
dc.subject | REINFORCEMENT LEARNING | en |
dc.title | Prospective and retrospective values integrated in frontal cortex drive predictive choice | en |
dc.type | journal article | - |
dc.type.niitype | Journal Article | - |
dc.identifier.jtitle | Proceedings of the National Academy of Sciences (PNAS) | en |
dc.identifier.volume | 119 | - |
dc.identifier.issue | 48 | - |
dc.relation.doi | 10.1073/pnas.2206067119 | - |
dc.textversion | publisher | - |
dc.identifier.artnum | e2206067119 | - |
dc.address | Department of Biological Sciences, Kyoto University Graduate School of Medicine | en |
dc.address | Department of Biological Sciences, Kyoto University Graduate School of Medicine; Graduate School of Brain Science, Doshisha University | en |
dc.address | Department of Biological Sciences, Kyoto University Graduate School of Medicine | en |
dc.identifier.pmid | 36417435 | - |
dc.relation.url | https://www.kyoto-u.ac.jp/ja/research-news/2023-01-30-3 | - |
dcterms.accessRights | open access | - |
datacite.awardNumber | 19H04983 | - |
datacite.awardNumber | 21H02804 | - |
datacite.awardNumber | 22H05495 | - |
datacite.awardNumber | 18H04014 | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PUBLICLY-19H04983/ | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21H02804/ | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PUBLICLY-22H05495/ | - |
datacite.awardNumber.uri | https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-18H04014/ | - |
dc.identifier.pissn | 0027-8424 | - |
dc.identifier.eissn | 1091-6490 | - |
jpcoar.funderName | 日本学術振興会 | ja |
jpcoar.funderName | 日本学術振興会 | ja |
jpcoar.funderName | 日本学術振興会 | ja |
jpcoar.funderName | 日本学術振興会 | ja |
jpcoar.awardTitle | 意思決定過程と内部モデルの相互作用 | ja |
jpcoar.awardTitle | 予測的価値を行動に変換する神経機構 | ja |
jpcoar.awardTitle | 逆行性バーコーディングによる局所神経回路構造の解明 | ja |
jpcoar.awardTitle | 音声信号の認識と行動誘発の神経回路機構 | ja |
出現コレクション: | 学術雑誌掲載論文等 |

このアイテムは次のライセンスが設定されています: クリエイティブ・コモンズ・ライセンス