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Comparison of Pattern Discrimination Mechanisms of Hebbian and Spatiotemporal Learning Rules in Self-Organization
https://oist.repo.nii.ac.jp/records/2095
https://oist.repo.nii.ac.jp/records/209509517fb3-9515-4446-9ae2-d819e12171c3
名前 / ファイル | ライセンス | アクション |
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Tsukada-2021-Comparison of Pattern Discriminat (1.5 MB)
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Creative Commons Attribution 4.0 International(https://creativecommons.org/licenses/by/4.0/)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2021-05-18 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Comparison of Pattern Discrimination Mechanisms of Hebbian and Spatiotemporal Learning Rules in Self-Organization | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | spetiotemporal learning rule | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | STLR | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | contextual learning | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | context-dependent memory | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | self-organization | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | pattern discrimination | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | pattern completion | |||||
キーワード | ||||||
言語 | en | |||||
主題Scheme | Other | |||||
主題 | Hebbian learning rule | |||||
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) |
Tsukada, Hiromichi
× Tsukada, Hiromichi× Tsukada, Minoru |
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書誌情報 |
en : Frontiers in Systems Neuroscience 巻 15, p. 624353, 発行日 2021-03-29 |
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抄録 | ||||||
内容記述タイプ | Other | |||||
内容記述 | The spatiotemporal learning rule (STLR) proposed based on hippocampal neurophysiological experiments is essentially different from the Hebbian learning rule (HEBLR) in terms of the self-organization mechanism. The difference is the self-organization of information from the external world by firing (HEBLR) or not firing (STLR) output neurons. Here, we describe the differences of the self-organization mechanism between the two learning rules by simulating neural network models trained on relatively similar spatiotemporal context information. Comparing the weight distributions after training, the HEBLR shows a unimodal distribution near the training vector, whereas the STLR shows a multimodal distribution. We analyzed the shape of the weight distribution in response to temporal changes in contextual information and found that the HEBLR does not change the shape of the weight distribution for time-varying spatiotemporal contextual information, whereas the STLR is sensitive to slight differences in spatiotemporal contexts and produces a multimodal distribution. These results suggest a critical difference in the dynamic change of synaptic weight distributions between the HEBLR and STLR in contextual learning. They also capture the characteristics of the pattern completion in the HEBLR and the pattern discrimination in the STLR, which adequately explain the self-organization mechanism of contextual information learning. | |||||
出版者 | ||||||
出版者 | Frontiers Media | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 1662-5137 | |||||
PubMed番号 | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | PMID | |||||
関連識別子 | info:pmid/33854419 | |||||
DOI | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | DOI | |||||
関連識別子 | info:doi/10.3389/fnsys.2021.624353 | |||||
権利 | ||||||
権利情報 | © 2021 Tsukada and Tsukada. | |||||
関連サイト | ||||||
識別子タイプ | URI | |||||
関連識別子 | https://www.frontiersin.org/articles/10.3389/fnsys.2021.624353/full | |||||
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 |