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Unsupervised Learning Facilitates Neural Coordination Across the Functional Clusters of the C. elegans Connectome
https://oist.repo.nii.ac.jp/records/1473
https://oist.repo.nii.ac.jp/records/1473bff3c6f1-82f4-4977-a4f4-6bb9bada37c8
名前 / ファイル | ライセンス | アクション |
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Morales-2020-Unsupervised Learning Facilitates (948.1 kB)
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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 | 2020-05-12 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Unsupervised Learning Facilitates Neural Coordination Across the Functional Clusters of the C. elegans Connectome | |||||
言語 | ||||||
言語 | eng | |||||
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) |
Morales, Alejandro
× Morales, Alejandro× Froese, Tom |
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書誌情報 |
en : Frontiers in Robotics and AI 巻 7, p. 40, 発行日 2020-04-02 |
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抄録 | ||||||
内容記述タイプ | Other | |||||
内容記述 | Modeling of complex adaptive systems has revealed a still poorly understood benefit of unsupervised learning: when neural networks are enabled to form an associative memory of a large set of their own attractor configurations, they begin to reorganize their connectivity in a direction that minimizes the coordination constraints posed by the initial network architecture. This self-optimization process has been replicated in various neural network formalisms, but it is still unclear whether it can be applied to biologically more realistic network topologies and scaled up to larger networks. Here we continue our efforts to respond to these challenges by demonstrating the process on the connectome of the widely studied nematode worm C. elegans. We extend our previous work by considering the contributions made by hierarchical partitions of the connectome that form functional clusters, and we explore possible beneficial effects of inter-cluster inhibitory connections. We conclude that the self-optimization process can be applied to neural network topologies characterized by greater biological realism, and that long-range inhibitory connections can facilitate the generalization capacity of the process. | |||||
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 | 2296-9144 | |||||
DOI | ||||||
関連タイプ | isIdenticalTo | |||||
識別子タイプ | DOI | |||||
関連識別子 | info:doi/10.3389/frobt.2020.00040 | |||||
権利 | ||||||
権利情報 | © 2020 Morales and Froese. | |||||
情報源 | ||||||
関連名称 | https://creativecommons.org/licenses/by/4.0/ | |||||
関連サイト | ||||||
識別子タイプ | URI | |||||
関連識別子 | https://www.frontiersin.org/articles/10.3389/frobt.2020.00040/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 |