{"updated":"2025-01-19T16:21:21.230070+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00215026","sets":["6504:10735:10808"]},"path":["10808"],"owner":"44499","recid":"215026","title":["予測符号化を模倣する深層生成学習モデル構築に向けた基礎的検討"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-03-04"},"_buckets":{"deposit":"c75d236c-d948-45d1-87c1-a4d24ac6c103"},"_deposit":{"id":"215026","pid":{"type":"depid","value":"215026","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"予測符号化を模倣する深層生成学習モデル構築に向けた基礎的検討","author_link":["553432","553431","553429","553430"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"予測符号化を模倣する深層生成学習モデル構築に向けた基礎的検討"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2021-03-04","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"お茶の水女子大"},{"subitem_text_value":"NICT"},{"subitem_text_value":"NICT"},{"subitem_text_value":"お茶の水女子大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/215026/files/IPSJ-Z83-1R-07.pdf","label":"IPSJ-Z83-1R-07.pdf"},"date":[{"dateType":"Available","dateValue":"2021-12-28"}],"format":"application/pdf","filename":"IPSJ-Z83-1R-07.pdf","filesize":[{"value":"550.1 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"df8b8d36-da18-43a9-8588-2543f624dce3","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"黒田, 彗莉"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"西本, 伸志"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"西田, 知史"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小林, 一郎"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年、機械学習の研究が盛んに行われており、中でも、将来を予測する深層学習モデルの開発が注目されている。本研究は、ヒト脳内の時間認識を機械学習モデルで表現することを目的とし、脳内構造を模倣した深層生成学習モデルや予測モデルをもとに新しいモデルの構築に向けた基礎的検討を行った。またそのモデルに対して、画像刺激を受けている際の脳活動情報との相関性について考察した。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"454","bibliographic_titles":[{"bibliographic_title":"第83回全国大会講演論文集"}],"bibliographicPageStart":"453","bibliographicIssueDates":{"bibliographicIssueDate":"2021-03-04","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2021"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"created":"2025-01-19T01:15:48.723085+00:00","id":215026,"links":{}}