{"created":"2023-06-20T15:46:00.106800+00:00","id":492,"links":{},"metadata":{"_buckets":{"deposit":"6c3e7fb3-80ca-4246-a9da-854cdf8c98a9"},"_deposit":{"created_by":4,"id":"492","owners":[4],"pid":{"revision_id":0,"type":"depid","value":"492"},"status":"published"},"_oai":{"id":"oai:hama-med.repo.nii.ac.jp:00000492","sets":["1:11"]},"author_link":["1308","1309","1310","1311","1312"],"item_3_alternative_title_1":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"Application of Stochastic Queuing Principle for Analysis of Neural Pulse Sequence."}]},"item_3_biblio_info_5":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2001-06-21","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"141","bibliographicPageEnd":"24","bibliographicPageStart":"17","bibliographicVolumeNumber":"101","bibliographic_titles":[{"bibliographic_title":"電子情報通信学会技術研究報告. CAS, 回路とシステム IEICE technical report. Circuits and systems"}]}]},"item_3_description_9":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"神経系を通過する神経パルスが神経細胞によってどのように処理されるかを定量的に評価する目的で生成消滅過程に関する線形微分差分方程式の解法を詳細に紹介した。基本的手法はSaaty 1961に準ずる。任意の時刻における神経細胞内におけるパルス数がn個である確率Qn(t)は変数係数を含む形式でありこれに対して母関数展開ぽよびラプラス変換を施してQn(t)の過渡的変化を決定する式を得た。Qn(t)はインパルスの到着確率と神経細胞内での処理確率の比βに依存し、ある特定の比で最大値をしめした。Qn(t)の平均値は最大許容インパルス数Nに依存して変化した。NがおおきくなるとQn(t)の平均値はβに依存して急激に増加したがNが小さい場合β依存性は弱かった。本研究は初歩的ではあるが発展させることで神経系の情報処理の基本特性を解析できると推定される。  We introduced a detailed explanation for the mathematical method for solving the linear differential-difference equations with absorbing barrier that characterize the signal proccessing function of the neural cell. The equations are the same form of the birth and death processes. This method was firstly introduced by Saaty 1961. The probability Qn(t) of n impulses in a neural cell at an arbitrary time t was obtained by applying the generator expansion in combination with the Laplace integral transformation. Qn(t) showed definite peak as a function of the ratio β between the impulse arrival rate and the signal processing rate of the neuron. As the number of maximum available impulse number N, the dependency of Qn(t) on the β value was markedly changes. The present method, though basic will be available for evaluating the neural processing function.","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":"110003198676","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":[{}]},{"creatorNames":[{"creatorName":"沖田, 善光"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"杉浦, 敏文"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"木村, 元彦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"数井, 輝久"}],"nameIdentifiers":[{}]}]},"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":"110003198676.pdf","filesize":[{"value":"484.9 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"110003198676.pdf","url":"https://hama-med.repo.nii.ac.jp/record/492/files/110003198676.pdf"},"version_id":"80d2ca02-5049-4fe0-85ba-72a79824e877"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"神経インパルス","subitem_subject_scheme":"Other"},{"subitem_subject":"信号処理","subitem_subject_scheme":"Other"},{"subitem_subject":"吸収壁","subitem_subject_scheme":"Other"},{"subitem_subject":"状態確率","subitem_subject_scheme":"Other"},{"subitem_subject":"母関数","subitem_subject_scheme":"Other"},{"subitem_subject":"微分差分方程式","subitem_subject_scheme":"Other"},{"subitem_subject":"ラプラス変換","subitem_subject_scheme":"Other"},{"subitem_subject":"Neural impulse","subitem_subject_scheme":"Other"},{"subitem_subject":"Signal Processing","subitem_subject_scheme":"Other"},{"subitem_subject":"Absorbing barrier","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":"神経パルス発生に対する待ち行列解析の応用","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"神経パルス発生に対する待ち行列解析の応用","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":"492","relation_version_is_last":true,"title":["神経パルス発生に対する待ち行列解析の応用"],"weko_creator_id":"4","weko_shared_id":-1},"updated":"2023-08-02T05:41:48.231562+00:00"}