{"updated":"2025-01-21T14:49:10.330885+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00092651","sets":["1164:5352:7133:7203"]},"path":["7203"],"owner":"11","recid":"92651","title":["動力学的因果モデリングにおける神経スパイク交差コレログラム解析について"],"pubdate":{"attribute_name":"公開日","attribute_value":"2013-06-20"},"_buckets":{"deposit":"29cfdfe0-fb87-4843-86f4-91e14ff5d3c8"},"_deposit":{"id":"92651","pid":{"type":"depid","value":"92651","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"動力学的因果モデリングにおける神経スパイク交差コレログラム解析について","author_link":["0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"動力学的因果モデリングにおける神経スパイク交差コレログラム解析について"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"一般（BIO）","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2013-06-20","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"京都大学情報学研究科／日本科学技術振興機構"},{"subitem_text_value":"京都大学情報学研究科"},{"subitem_text_value":"沖縄先端科学技術大学院大学"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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/92651/files/IPSJ-BIO13034009.pdf"},"date":[{"dateType":"Available","dateValue":"2015-06-20"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-BIO13034009.pdf","filesize":[{"value":"348.2 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"41"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"9a402168-e65b-416b-a889-7f67a476c3ac","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2013 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"大羽成征"},{"creatorName":"中江健"},{"creatorName":"吉本潤一郎"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12055912","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"スパイク統計に基づいて神経細胞間の機能的結合を知るための手法として、一般化線形モデル (GLM) に基づく応答関数推定法が提案されている。GLM によれば古典的な 2 ニューロン間クロスコレログラム解析で生じる擬似相関起源の偽陽性を排除できる。しかし、GLM によっても原理的に避けられない偽陽性要因が存在する。本発表ではそのうち 2 つを指摘する。第一は、スパイク検出時刻決定の誤差、第二は時間方向に非線形性の強いダイナミクスを GLM でフィッティングすることによって生じる歪みである。本発表ではまた、これらの偽陽性を避けるために、応答関数可視化法に関する小さなトリック 「GLM クロスコレログラム」 を提案する。これとクラスタリング法と組み合わせて、機能的結合パターンの典型例を見つけることで、通常手法を使った場合に導かれたであろう解釈誤りの可能性を減らせることを示す。","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"5","bibliographic_titles":[{"bibliographic_title":"研究報告バイオ情報学（BIO）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2013-06-20","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"9","bibliographicVolumeNumber":"2013-BIO-34"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-18T23:41:29.326275+00:00","id":92651,"links":{}}