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タイトル
  • en Brain-inspired neural network navigation system with hippocampus, prefrontal cortex, and amygdala functions
作成者
    • en Mizutani, Akinobu
    • 別名 en Mizutani, A.
    • en Tanaka, Yuichiro ja 田中, 悠一朗 ja-Kana タナカ, ユウイチロウ
    • e-Rad 70911288
    • en Tamukoh, Hakaru ja 田向, 権 ja-Kana タムコウ, ハカル
    • e-Rad 90432955
    • en Katori, Yuichi
    • 別名 en Katori, Y.
    • en Tateno, Katsumi ja 立野, 勝巳 ja-Kana タテノ, カツミ
    • e-Rad 00346868
    • en Morie, Takashi ja 森江, 隆 ja-Kana モリエ, タカシ
    • e-Rad 20294530
権利情報
  • Copyright (c) 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
主題
  • Other brain-inspired neural network
  • Other reservoir computing
  • Other service robot
  • Other navigation
内容注記
  • Abstract en We propose a brain-inspired neural network model consisting of the hippocampus, prefrontal cortex, and amygdala models for a navigation system that acquires specific knowledge in home environments from few experiences. The proposed model was evaluated in a home environment using a robot simulator. In the experiment, the robot determines a path for navigation based on the knowledge acquired by the brain-inspired model.
  • Other 2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2021), November 16-19, 2021, Hualien, Taiwan
出版者 IEEE
日付
    Issued2021-12-28
言語
  • eng
資源タイプ journal article
出版タイプ AM
資源識別子 HDL http://hdl.handle.net/10228/00008732 , URI https://kyutech.repo.nii.ac.jp/records/7528
関連
  • isVersionOf DOI https://doi.org/10.1109/ISPACS51563.2021.9651058
  • ISBN 978-1-6654-1951-2
  • ISBN 978-1-6654-1950-5
  • ISBN 978-1-6654-3003-6
収録誌情報
  • en 2021 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)
ファイル
コンテンツ更新日時 2025-07-14