{"created":"2023-06-20T15:46:01.909384+00:00","id":521,"links":{},"metadata":{"_buckets":{"deposit":"b66c9cf6-83eb-405e-851f-433797a7aa9b"},"_deposit":{"created_by":4,"id":"521","owners":[4],"pid":{"revision_id":0,"type":"depid","value":"521"},"status":"published"},"_oai":{"id":"oai:hama-med.repo.nii.ac.jp:00000521","sets":["1:11"]},"author_link":["1415","1416","1417","1418"],"item_3_alternative_title_1":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"Analysis of Temporal Processing for the Poisson Inputs by More than Two Processing Neurons."}]},"item_3_biblio_info_5":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"1999-09-24","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"331","bibliographicPageEnd":"108","bibliographicPageStart":"101","bibliographicVolumeNumber":"99","bibliographic_titles":[{"bibliographic_title":"電子情報通信学会技術研究報告. MBE, MEとバイオサイバネティックス IEICE technical report. ME and bio cybernetics"}]}]},"item_3_description_9":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"標的神経細胞が複数個ある場合の神経インパルス処理の過渡的過程を解析する方法をSaaty(1960)の研究にもとずいて紹介した。入力としての神経インパルスはポアソン型時系列(到着確率 :λ)とした。これから入力をうける受容神経細胞は2個ある場合を解析した。神経組織の任意の時刻においてそこにn個のインパルスが処理されている(処理確率 :μ)確率Pn(t)に関する連立微分差分確率方程式を母関数展開およびラプラス積分変換を用いて解いた。本研究では簡単のため処理する神経は2個とした。P0(t)は初期条件、すなわちすでに処理が進行しているインパルスの数によって大きく変化した。インパルス到着確率:λが減少するとまた処理確率:μが増加するとP0(t)は増加した。本研究方法を発展させれば多数の神経細胞が同時に神経情報を処理する場合の時間経過を分析するのに有用である。  A mathematical method has been introduced for analyzing the neural signal processing mechanisms which exists more than two. The basic concept originates in the work of Saaty (1960). We assumed that Impulses arrive by a Poisson distribution which is independently and identically distributed according to 1-exp(-λt). On completing the processing, the impulse departs from the system by a sequence of independent and identically distributed random variables for 1-exp(-μt). The processing time courses are also identical for processing channels. For the initial condition, we set that there are i units preexisting in the system at t=0. The probabilistic differential-difference equations were solved by generating function technique. The present method will be available for analyzing the simultaneous neural processing system.","subitem_description_type":"Abstract"}]},"item_3_publisher_6":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"電子情報通信学会"}]},"item_3_relation_22":{"attribute_name":"NII論文ID","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"110003288274","subitem_relation_type_select":"NAID"}}]},"item_3_rights_7":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"電子情報通信学会"},{"subitem_rights":"本文データは学協会の許諾に基づきCiNiiから複製したものである"}]},"item_3_source_id_19":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"09135685","subitem_source_identifier_type":"ISSN"}]},"item_3_version_type_32":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"平山, 博史"}],"nameIdentifiers":[{"nameIdentifier":"1415","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"北川, 敬之"}],"nameIdentifiers":[{"nameIdentifier":"1416","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"沖田, 善光"}],"nameIdentifiers":[{"nameIdentifier":"1417","nameIdentifierScheme":"WEKO"}]},{"creatorNames":[{"creatorName":"数井, 輝久"}],"nameIdentifiers":[{"nameIdentifier":"1418","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2018-08-27"}],"displaytype":"detail","filename":"110003288274.pdf","filesize":[{"value":"479.2 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"110003288274.pdf","url":"https://hama-med.repo.nii.ac.jp/record/521/files/110003288274.pdf"},"version_id":"8c4fe8fd-da15-4a0b-a61b-11ac9a1ea5c8"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"神経細胞","subitem_subject_scheme":"Other"},{"subitem_subject":"インパルス処理","subitem_subject_scheme":"Other"},{"subitem_subject":"ポアソン型時系列","subitem_subject_scheme":"Other"},{"subitem_subject":"連立微分差分確率方程式","subitem_subject_scheme":"Other"},{"subitem_subject":"母関数展開","subitem_subject_scheme":"Other"},{"subitem_subject":"Neural signal","subitem_subject_scheme":"Other"},{"subitem_subject":"Impulse processing","subitem_subject_scheme":"Other"},{"subitem_subject":"Poisson series","subitem_subject_scheme":"Other"},{"subitem_subject":"Differential-difference equations","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"複数個の神経細胞に対するポアソン型入力による発射過程の過渡的経過解析","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"複数個の神経細胞に対するポアソン型入力による発射過程の過渡的経過解析","subitem_title_language":"ja"}]},"item_type_id":"3","owner":"4","path":["11"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2013-08-27"},"publish_date":"2013-08-27","publish_status":"0","recid":"521","relation_version_is_last":true,"title":["複数個の神経細胞に対するポアソン型入力による発射過程の過渡的経過解析"],"weko_creator_id":"4","weko_shared_id":-1},"updated":"2023-08-02T05:45:03.775053+00:00"}