このアイテムのアクセス数: 105

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 
eneuro.0505-22.2023.pdf2.22 MBAdobe PDF見る/開く
完全メタデータレコード
DCフィールド言語
dc.contributor.authorTachiki, Yutoen
dc.contributor.authorSuzuki, Yusukeen
dc.contributor.authorKurahashi, Mutsumien
dc.contributor.authorOki, Keisukeen
dc.contributor.authorMavuk, Özgünen
dc.contributor.authorNakagawa, Takumaen
dc.contributor.authorIshihara, Shogoen
dc.contributor.authorGyoten, Yuichiroen
dc.contributor.authorYamamoto, Akiraen
dc.contributor.authorImayoshi, Itaruen
dc.contributor.alternative立木, 佑宇人ja
dc.contributor.alternative鈴木, 裕輔ja
dc.contributor.alternative倉橋, むつみja
dc.contributor.alternative大木, 圭佑ja
dc.contributor.alternative中河, 拓摩ja
dc.contributor.alternative石原, 将吾ja
dc.contributor.alternative行天, 悠一郎ja
dc.contributor.alternative山本, 亮良ja
dc.contributor.alternative今吉, 格ja
dc.date.accessioned2023-12-28T02:51:45Z-
dc.date.available2023-12-28T02:51:45Z-
dc.date.issued2023-06-
dc.identifier.urihttp://hdl.handle.net/2433/286503-
dc.description.abstractAnimals are capable of representing different scale spaces from smaller to larger ones. However, most laboratory animals live their life in a narrow range of scale spaces like home-cages and experimental setups, making it hard to extrapolate the spatial representation and learning process in large scale spaces from those in conventional scale spaces. Here, we developed a 3-meter diameter Barnes maze (BM3), then explored whether spatial learning in the Barnes maze (BM) is calibrated by scale spaces. Spatial learning in the BM3 was successfully established with a lower learning rate than that in a conventional 1-meter diameter Barnes maze (BM1). Specifically, analysis of exploration strategies revealed that the mice in the BM3 persistently searched certain places throughout the learning, while such places were rapidly decreased in the BM1. These results suggest dedicated exploration strategies requiring more trial-and-errors and computational resources in the BM3 than in the BM1, leading to a divergence of spatial learning between the BM1 and the BM3. We then explored whether prior learning in one BM scale calibrates subsequent spatial learning in another BM scale, and found asymmetric facilitation such that the prior learning in the BM3 facilitated the subsequent BM1 learning, but notvice versa. Thus, scale space calibrates both the present and subsequent BM learning. This is the first study to demonstrate scale-dependent spatial learning in BM in mice. The couple of the BM1 and the BM3 would be a suitable system to seek how animals represent different scale spaces with underlying neural implementation. Significance Statement Animals are capable of representing different scale spaces. However, whether scale space calibrates goal-directed spatial learning remains unclear. The Barnes maze is a well-established experimental paradigm to evaluate spatial learning in rodents. Here, we developed a larger scale 3-meter diameter Barnes maze (BM3) then compared various navigation features in mice between the BM3 and a conventional 1-meter diameter Barnes maze (BM1). We demonstrated that spatial learning on the BM3 was established, but required more trial-and-error and computational resources than in the BM1, prompting mice to visit certain places persistently. Such learning experiences in the BM3 facilitated subsequent spatial learning in the BM1, but not vice versa. These results suggest that scale space calibrates present and subsequent spatial learning.en
dc.language.isoeng-
dc.publisherSociety for Neuroscienceen
dc.rightsCopyright © 2023 Tachiki et al.en
dc.rightsThis is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/-
dc.subjectBarnes mazeen
dc.subjectmicesen
dc.subjectcale spaceen
dc.subjectspatial learningen
dc.subjectspatial navigationen
dc.subjectspatial representationen
dc.titleScale space calibrates present and subsequent spatial learning in Barnes maze in miceen
dc.typejournal article-
dc.type.niitypeJournal Article-
dc.identifier.jtitleeNeuroen
dc.identifier.volume10-
dc.identifier.issue6-
dc.relation.doi10.1523/eneuro.0505-22.2023-
dc.textversionpublisher-
dc.identifier.artnumENEURO.0505-22.2023-
dc.identifier.pmid37169582-
dcterms.accessRightsopen access-
datacite.awardNumber19K16292-
datacite.awardNumber21H02485-
datacite.awardNumber15H01489-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-19K16292/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-21H02485/-
datacite.awardNumber.urihttps://kaken.nii.ac.jp/grant/KAKENHI-PUBLICLY-15H01489/-
dc.identifier.eissn2373-2822-
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場所のネットワーク表現に関わる脳情報処理過程の同定ja
jpcoar.awardTitle神経幹細胞の光操作を用いた生後脳ニューロン新生の機能的意義の全脳レベルでの解析ja
jpcoar.awardTitle光遺伝学を用いた構成的アプローチによる細胞競合現象の解析ja
出現コレクション:学術雑誌掲載論文等

アイテムの簡略レコードを表示する

Export to RefWorks


出力フォーマット 


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 Creative Commons