{"created":"2023-06-20T13:22:05.299827+00:00","id":2477,"links":{},"metadata":{"_buckets":{"deposit":"0b8456b8-77f6-4325-8fdb-8bde0fba0a65"},"_deposit":{"created_by":21,"id":"2477","owners":[21],"pid":{"revision_id":0,"type":"depid","value":"2477"},"status":"published"},"_oai":{"id":"oai:ir.soken.ac.jp:00002477","sets":["2:429:17"]},"author_link":["0","0","0"],"item_1_creator_2":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"中江, 健"}],"nameIdentifiers":[{}]}]},"item_1_creator_3":{"attribute_name":"フリガナ","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"ナカエ　, ケン"}],"nameIdentifiers":[{}]}]},"item_1_date_granted_11":{"attribute_name":"学位授与年月日","attribute_value_mlt":[{"subitem_dategranted":"2011-03-24"}]},"item_1_degree_grantor_5":{"attribute_name":"学位授与機関","attribute_value_mlt":[{"subitem_degreegrantor":[{"subitem_degreegrantor_name":"総合研究大学院大学"}]}]},"item_1_degree_name_6":{"attribute_name":"学位名","attribute_value_mlt":[{"subitem_degreename":"博士（統計科学）"}]},"item_1_description_12":{"attribute_name":"要旨","attribute_value_mlt":[{"subitem_description":"Phase response curve (PRC) describes the response of an oscillator to external perturbation; it is useful to predict and understand synchronized dynamics of oscillators. In recent years, neuroscientists have focused on neurons’ PRCs, and measured them experimentally. This originates from the leading hypotheses that the synchronization of neurons has a functional meaning in the brain.<br/>\r\nIn this thesis, we propose two statistical methods for estimating PRCs from data; it allows for the correlation of errors in explanatory and response variables of the PRC. This correlation is neglected in previous studies.<br/>\r\nThe ?rst method is implemented with a replica exchange Monte Carlo technique; this avoids local minima and enables ef?cient calculation of posterior averages. A test with arti?cial data generated by noisy Morris-Lecar equations shows that, in terms of accuracy, this method outperforms conventional regression that ignores errors in the explanatory variable. Experimental data from the pyramidal cells in the rat motor cortex is also analyzed; a case is found where the result with the ?rst method is considerably different from that obtained by conventional regression.<br/>\r\nThe second method is developed using a transformation that mixes the variables; it effectively removes the correlation. The computation time of this method is considerably less than that of the ?rst method. The same test using the noisy Morris-Lecar equations shows that the second method also outperforms than convectional regression in terms of accuracy.<br/>","subitem_description_type":"Other"}]},"item_1_description_18":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_1_description_7":{"attribute_name":"学位記番号","attribute_value_mlt":[{"subitem_description":"総研大甲第1420号","subitem_description_type":"Other"}]},"item_1_select_14":{"attribute_name":"所蔵","attribute_value_mlt":[{"subitem_select_item":"有"}]},"item_1_select_8":{"attribute_name":"研究科","attribute_value_mlt":[{"subitem_select_item":"複合科学研究科"}]},"item_1_select_9":{"attribute_name":"専攻","attribute_value_mlt":[{"subitem_select_item":"15 統計科学専攻"}]},"item_1_text_10":{"attribute_name":"学位授与年度","attribute_value_mlt":[{"subitem_text_value":"2010"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"NAKAE, Ken","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2016-02-17"}],"displaytype":"simple","filename":"甲1420_要旨.pdf","filesize":[{"value":"184.3 kB"}],"format":"application/pdf","licensetype":"license_11","mimetype":"application/pdf","url":{"label":"要旨・審査要旨","url":"https://ir.soken.ac.jp/record/2477/files/甲1420_要旨.pdf"},"version_id":"d991f17e-b7f5-4fbf-9781-31756246ad91"},{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2016-02-17"}],"displaytype":"simple","filename":"甲1420_本文.pdf","filesize":[{"value":"3.6 MB"}],"format":"application/pdf","licensetype":"license_11","mimetype":"application/pdf","url":{"label":"本文","url":"https://ir.soken.ac.jp/record/2477/files/甲1420_本文.pdf"},"version_id":"60e88761-632c-4022-8c01-76a96c0a97ac"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"thesis","resourceuri":"http://purl.org/coar/resource_type/c_46ec"}]},"item_title":"Statistical Estimation of Phase Response Curves","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Statistical Estimation of Phase Response Curves"},{"subitem_title":"Statistical Estimation of Phase Response Curves","subitem_title_language":"en"}]},"item_type_id":"1","owner":"21","path":["17"],"pubdate":{"attribute_name":"公開日","attribute_value":"2011-12-27"},"publish_date":"2011-12-27","publish_status":"0","recid":"2477","relation_version_is_last":true,"title":["Statistical Estimation of Phase Response Curves"],"weko_creator_id":"21","weko_shared_id":-1},"updated":"2023-06-20T15:46:22.811519+00:00"}