{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00142516","sets":["1164:5352:8218:8281"]},"path":["8281"],"owner":"11","recid":"142516","title":["大脳皮質視覚野において局所運動を検出する神経回路網モデルのLSI化"],"pubdate":{"attribute_name":"公開日","attribute_value":"2015-06-16"},"_buckets":{"deposit":"465eac43-08b4-4182-bbf3-85698a90e393"},"_deposit":{"id":"142516","pid":{"type":"depid","value":"142516","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"大脳皮質視覚野において局所運動を検出する神経回路網モデルのLSI化","author_link":["211810","211820","211813","211815","211818","211816","211807","211811","211812","211817","211808","211809","211819","211814"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"大脳皮質視覚野において局所運動を検出する神経回路網モデルのLSI化"},{"subitem_title":"An LSI Implementation of a Neural Network Model for Detecting Local Image Motion in the Visual Cortex","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2015-06-16","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東北大学電気通信研究所"},{"subitem_text_value":"東北大学電気通信研究所"},{"subitem_text_value":"東北大学電気通信研究所"},{"subitem_text_value":"東北大学電気通信研究所"},{"subitem_text_value":"東北大学電気通信研究所"},{"subitem_text_value":"東北大学電気通信研究所"},{"subitem_text_value":"東北大学電気通信研究所"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Research Institute of Electrical Communication Tohoku University","subitem_text_language":"en"},{"subitem_text_value":"Research Institute of Electrical Communication Tohoku University","subitem_text_language":"en"},{"subitem_text_value":"Research Institute of Electrical Communication Tohoku University","subitem_text_language":"en"},{"subitem_text_value":"Research Institute of Electrical Communication Tohoku University","subitem_text_language":"en"},{"subitem_text_value":"Research Institute of Electrical Communication Tohoku University","subitem_text_language":"en"},{"subitem_text_value":"Research Institute of Electrical Communication Tohoku University","subitem_text_language":"en"},{"subitem_text_value":"Research Institute of Electrical Communication Tohoku University","subitem_text_language":"en"}]},"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/142516/files/IPSJ-BIO15042047.pdf"},"date":[{"dateType":"Available","dateValue":"2100-01-01"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-BIO15042047.pdf","filesize":[{"value":"1.0 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"41"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"a8f94b78-1c20-46c8-bf08-67796583f43c","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2015 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"秋間, 学尚"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"守谷, 哲"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"川上, 進"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"矢野, 雅文"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"中島, 康治"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"櫻庭, 政夫"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"佐藤, 茂雄"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Hisanao, Akima","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Satoshi, Moriya","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Susumu, Kawakami","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masafumi, Yano","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Koji, Nakajima","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Masao, Sakuraba","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Shigeo, Sato","creatorNameLang":"en"}],"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_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8590","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"物の動きや空間的位置関係を把握する空間認識は歩行ロボットや自動運転車を実現する上で必要不可欠である．空間認識には奥行き手がかりが必要であり，単眼で得られる運動視差を利用した手法として運動立体視 （運動視） がある．我々は，川上等によって提案された運動視による空間認識を行う神経網モデルを LSI 化し，自動運転車の衝突回避システムなどに応用することを目指している．その第一歩として，V1 野と MT 野の神経網モデルに基づき局所運動を検出する LSI を設計した．本報告では，設計した LSI の構成と RTL シミュレーションによる動作検証，及び性能評価の結果を示す．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"The spatial perception, in which objects motion and positional relation are recognized, is necessary to realize such as a walking robot and an autonomous car. Motion stereo vision is one of the methods in which spatial perception is performed based on a depth cue called motion parallax obtained even in one eye. We aim to construct a spatial perception system by implementing the neural network model proposed by Kawakami et al. into an LSI, which can be applied to such as a collision detection system in an autonomous car. As a first step, we designed an LSI in which local motion is detected based on the neural network model of area V1 and area MT in the visual cortex. In this report, we show the architecture of the designed LSI and the results of verification and performance evaluation by RTL simulation.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告バイオ情報学（BIO）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2015-06-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"47","bibliographicVolumeNumber":"2015-BIO-42"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":142516,"updated":"2025-01-20T18:57:40.671601+00:00","links":{},"created":"2025-01-19T00:19:57.551507+00:00"}