WEKO3
アイテム
{"_buckets": {"deposit": "74af69ed-e1ce-47b9-abba-bf9d2ac2af09"}, "_deposit": {"created_by": 33, "id": "2654", "owners": [33], "pid": {"revision_id": 0, "type": "depid", "value": "2654"}, "status": "published"}, "_oai": {"id": "oai:oist.repo.nii.ac.jp:00002654", "sets": ["176"]}, "author_link": ["17196", "17194", "17195"], "item_10001_biblio_info_7": {"attribute_name": "Bibliographic Information", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2022-03-23", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "1", "bibliographicPageStart": "4951", "bibliographicVolumeNumber": "12", "bibliographic_titles": [{}, {"bibliographic_title": "Scientific Reports", "bibliographic_titleLang": "en"}]}]}, "item_10001_creator_3": {"attribute_name": "Author", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Ohta, Morihiro"}], "nameIdentifiers": [{"nameIdentifier": "17194", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Asabuki, Toshitake"}], "nameIdentifiers": [{"nameIdentifier": "17195", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Fukai, Tomoki"}], "nameIdentifiers": [{"nameIdentifier": "17196", "nameIdentifierScheme": "WEKO"}]}]}, "item_10001_description_5": {"attribute_name": "Abstract", "attribute_value_mlt": [{"subitem_description": "Isolated spikes and bursts of spikes are thought to provide the two major modes of information coding by neurons. Bursts are known to be crucial for fundamental processes between neuron pairs, such as neuronal communications and synaptic plasticity. Neuronal bursting also has implications in neurodegenerative diseases and mental disorders. Despite these findings on the roles of bursts, whether and how bursts have an advantage over isolated spikes in the network-level computation remains elusive. Here, we demonstrate in a computational model that not isolated spikes, but intrinsic bursts can greatly facilitate learning of Lévy flight random walk trajectories by synchronizing burst onsets across a neural population. Lévy flight is a hallmark of optimal search strategies and appears in cognitive behaviors such as saccadic eye movements and memory retrieval. Our results suggest that bursting is crucial for sequence learning by recurrent neural networks when sequences comprise long-tailed distributed discrete jumps.", "subitem_description_type": "Other"}]}, "item_10001_publisher_8": {"attribute_name": "Publisher", "attribute_value_mlt": [{"subitem_publisher": "nature portfolio"}]}, "item_10001_relation_13": {"attribute_name": "PubMedNo.", "attribute_value_mlt": [{"subitem_relation_type": "isIdenticalTo", "subitem_relation_type_id": {"subitem_relation_type_id_text": "info:pmid/35322813", "subitem_relation_type_select": "PMID"}}]}, "item_10001_relation_14": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type": "isIdenticalTo", "subitem_relation_type_id": {"subitem_relation_type_id_text": "info:doi/10.1038/s41598-022-08953-z", "subitem_relation_type_select": "DOI"}}]}, "item_10001_relation_17": {"attribute_name": "Related site", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "https://www.nature.com/articles/s41598-022-08953-z#article-info", "subitem_relation_type_select": "URI"}}]}, "item_10001_rights_15": {"attribute_name": "Rights", "attribute_value_mlt": [{"subitem_rights": "© 2022 The Author(s)."}]}, "item_10001_source_id_9": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "2045-2322", "subitem_source_identifier_type": "ISSN"}]}, "item_10001_version_type_20": {"attribute_name": "Author\u0027s flag", "attribute_value_mlt": [{"subitem_version_resource": "http://purl.org/coar/version/c_970fb48d4fbd8a85", "subitem_version_type": "VoR"}]}, "item_files": {"attribute_name": "ファイル情報", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2022-06-13"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "Ohta-2022-Intrinsic bursts facilitate learning.pdf", "filesize": [{"value": "2.7 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensefree": "Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/)", "licensetype": "license_free", "mimetype": "application/pdf", "size": 2700000.0, "url": {"label": "Ohta-2022-Intrinsic bursts facilitate learning", "url": "https://oist.repo.nii.ac.jp/record/2654/files/Ohta-2022-Intrinsic bursts facilitate learning.pdf"}, "version_id": "beb748c6-851f-43f0-824e-976459c99bca"}]}, "item_keyword": {"attribute_name": "キーワード", "attribute_value_mlt": [{"subitem_subject": "Dynamical systems", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Learning algorithms", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Network models", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}]}, "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": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "Intrinsic bursts facilitate learning of Lévy flight movements in recurrent neural network models", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Intrinsic bursts facilitate learning of Lévy flight movements in recurrent neural network models", "subitem_title_language": "en"}]}, "item_type_id": "10001", "owner": "33", "path": ["176"], "permalink_uri": "https://oist.repo.nii.ac.jp/records/2654", "pubdate": {"attribute_name": "公開日", "attribute_value": "2022-06-13"}, "publish_date": "2022-06-13", "publish_status": "0", "recid": "2654", "relation": {}, "relation_version_is_last": true, "title": ["Intrinsic bursts facilitate learning of Lévy flight movements in recurrent neural network models"], "weko_shared_id": 33}
Intrinsic bursts facilitate learning of Lévy flight movements in recurrent neural network models
https://oist.repo.nii.ac.jp/records/2654
https://oist.repo.nii.ac.jp/records/2654a3064bea-c3e2-49c7-afaa-db147b41b7a5
名前 / ファイル | ライセンス | アクション |
---|---|---|
Ohta-2022-Intrinsic bursts facilitate learning (2.7 MB)
|
Creative Commons Attribution 4.0 International (https://creativecommons.org/licenses/by/4.0/)
|
Item type | 学術雑誌論文 / Journal Article(1) | |||||
---|---|---|---|---|---|---|
公開日 | 2022-06-13 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Intrinsic bursts facilitate learning of Lévy flight movements in recurrent neural network models | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Dynamical systems | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Learning algorithms | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Network models | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | journal article | |||||
著者(英) |
Ohta, Morihiro
× Ohta, Morihiro× Asabuki, Toshitake× Fukai, Tomoki |
|||||
書誌情報 |
en : Scientific Reports 巻 12, 号 1, p. 4951, 発行日 2022-03-23 |
|||||
抄録 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Isolated spikes and bursts of spikes are thought to provide the two major modes of information coding by neurons. Bursts are known to be crucial for fundamental processes between neuron pairs, such as neuronal communications and synaptic plasticity. Neuronal bursting also has implications in neurodegenerative diseases and mental disorders. Despite these findings on the roles of bursts, whether and how bursts have an advantage over isolated spikes in the network-level computation remains elusive. Here, we demonstrate in a computational model that not isolated spikes, but intrinsic bursts can greatly facilitate learning of Lévy flight random walk trajectories by synchronizing burst onsets across a neural population. Lévy flight is a hallmark of optimal search strategies and appears in cognitive behaviors such as saccadic eye movements and memory retrieval. Our results suggest that bursting is crucial for sequence learning by recurrent neural networks when sequences comprise long-tailed distributed discrete jumps. | |||||
出版者 | ||||||
出版者 | nature portfolio | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 2045-2322 | |||||
PubMed番号 | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | PMID | |||||
関連識別子 | info:pmid/35322813 | |||||
DOI | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | DOI | |||||
関連識別子 | info:doi/10.1038/s41598-022-08953-z | |||||
権利 | ||||||
権利情報 | © 2022 The Author(s). | |||||
関連サイト | ||||||
識別子タイプ | URI | |||||
関連識別子 | https://www.nature.com/articles/s41598-022-08953-z#article-info | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 |