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A border-ownership model based on computational electromagnetism
https://uec.repo.nii.ac.jp/records/9204
https://uec.repo.nii.ac.jp/records/920445500361-3354-4e3c-a294-a4ffeb6efd16
名前 / ファイル | ライセンス | アクション |
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manuscriptre3-zaem (1.5 MB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2019-05-23 | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | A border-ownership model based on computational electromagnetism | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
言語 | en | |||||
主題 | Neural computation | |||||
キーワード | ||||||
言語 | en | |||||
主題 | Middle vision | |||||
キーワード | ||||||
言語 | en | |||||
主題 | Depth perception | |||||
キーワード | ||||||
言語 | en | |||||
主題 | Perceptual organization | |||||
キーワード | ||||||
言語 | en | |||||
主題 | Receptive field | |||||
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 |
Zainal, Zaem Arif
× Zainal, Zaem Arif× Satoh, Shunji |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | The mathematical relation between a vector electric field and its corresponding scalar potential field is useful to formulate computational problems of lower/middle-order visual processing, specifically related to the assignment of borders to the side of the object: so-called border ownership (BO). BO coding is a key process for extracting the objects from the background, allowing one to organize a cluttered scene. We propose that the problem is solvable simultaneously by application of a theorem of electromagnetism, i.e., “conservative vector fields have zero rotation, or “curl.” We hypothesize that (i) the BO signal is definable as a vector electric field with arrowheads pointing to the inner side of perceived objects, and (ii) its corresponding scalar field carries information related to perceived order in depth of occluding/occluded objects. A simple model was developed based on this computational theory. Model results qualitatively agree with object-side selectivity of BO-coding neurons, and with perceptions of object order. The model update rule can be reproduced as a plausible neural network that presents new interpretations of existing physiological results. Results of this study also suggest that T-junction detectors are unnecessary to calculate depth order. | |||||
書誌情報 |
en : Neural Networks 巻 99, p. 114-122, 発行日 2018-03 |
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出版者 | ||||||
出版者 | Elsevier | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 08936080 | |||||
DOI | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | DOI | |||||
関連識別子 | 10.1016/j.neunet.2017.12.004 | |||||
権利 | ||||||
権利情報 | © 2018 Elsevier. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | |||||
関連サイト | ||||||
識別子タイプ | DOI | |||||
関連識別子 | https://doi.org/10.1016/j.neunet.2017.12.004 | |||||
著者版フラグ | ||||||
出版タイプ | AM | |||||
出版タイプResource | http://purl.org/coar/version/c_ab4af688f83e57aa |