Rchr
J-GLOBAL ID:200901072598485185
Update date: Oct. 16, 2024
Ikeno Hidetoshi
イケノ ヒデトシ | Ikeno Hidetoshi
Affiliation and department:
Job title:
Professor
Homepage URL (1):
https://nrid.nii.ac.jp/ja/nrid/1000080176114/
Research field (4):
Neuroscience - general
, Environmental dynamics
, Entomology
, Biological, health, and medical informatics
Research keywords (32):
Tree root
, 包括脳ネットワーク
, ミツバチ
, 学習・記憶
, 昆虫
, 条件付け
, 記憶
, 行動制御
, 視運動反応
, 選択的注意
, 飛行制御
, テザード実験
, オプティックフロー
, 感覚統合
, 視覚系
, 複眼
, シミュレーション
, ホジキン・ハクスレ-方程式
, モデル化
, イオン電流
, 網膜
, 脳・神経
, 連想学習・記憶
, 社会性適応
, 観察巣箱
, 学習記憶の神経機構
, コネクションマシン
, 社会性
, ウミウシ視細胞
, 8の字ダンス
, 学習,記憶
, 尻振りダンス
Research theme for competitive and other funds (26):
- 2024 - 2028 Establishment of a non-destructive evaluation method for the root system structure of trees on forest slopes
- 2024 - 2028 Carbon sequestration process regurated by root litter
- 2024 - 2027 樹木根系の最適化による崩壊防止と生物多様性の両立
- 2022 - 2026 ミツバチのベクトル統合の神経回路と蜜源ナビゲーションにおける制御機構の解明
- 2021 - 2024 Error avoidance strategy of Platypus quercivorus on their host selection process
- 2020 - 2024 Development of estimation methods for maximum depth and structure of tree roots using ground penetrating radar
- 2018 - 2022 Mechanism for detecting the azimuth encoded in the honeybee waggle dance
- 2018 - 2021 Identification of primary attractants for Platypus quercivorus and their application to the control of Japanese oak wilt
- 2017 - 2020 Reverse-Engineering of honey bee brain: Neural mechanisms of dance communication
- 2016 - 2019 Development of a program to support behaviral analysis for insects
- 2015 - 2018 Neural mechanism for integration of vector information encoded in honeybee waggle dance
- 2013 - 2018 Non-destructive estimation of tree root system to mitigate natural disaster
- 2015 - 2017 Flight behavior of Platypus quercivorus and their response to host leaves
- 2013 - 2016 Development of construction and application of stadndard brain protocol and software environment for various animal spiceis
- 2012 - 2015 Effect of social behaviour on carbon budget of honeybee colony under climate change
- 2010 - 2015 Neural mechanism of multi-sensory integration related for deciphering the waggle dance of honeybee
- 2008 - 2009 社会性適応のための行動変容機構の研究
- 2007 - 2009 Information processing and behavioral control by multimodal stimuli in honey bee
- 2006 - 2007 社会性適応のための脳システム変容機構の研究
- 2003 - 2006 Neural and behavioral function of associative learning in honeybee by using visual stimuli
- 2000 - 2001 ミツバチが収穫ダンスをする理由の解明-ダンス言語説に対する疑義の立場から-
- 1993 - 1993 視環境の統計的特徴量に基づく適応色覚神経回路モデル
- 1991 - 1992 BASIC RESEARCH FOR DEVELOPMENT OF ASSOCIATIVE LEARNING BIO- TIP WITH CULTURAL NEURON
- 1991 - 1991 神経システムの連想学習・記憶による合目的適応変化
- 1989 - 1989 計算素子としての神経の学習原理とその工学的実現
- 1986 - 1986 イオン電流機構に基づく神経細胞ネットワーク・シミュレータの開発
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Papers (104):
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Keitaro Yamase, Hidetoshi Ikeno, Norifumi Hotta, Mai Imawaka, Mizue Ohashi, Toko Tanikawa, Chikage Todo, Masako Dannoura, Yasuhiro Hirano. Effect of sprouting and corresponding root distribution of the shrub species Eurya japonica on slope stability. CATENA. 2024. 238. 107869-107869
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Ryuichi Okada, Hidetoshi Ikeno, Hitoshi Aonuma, Midori Sakura, Etsuro Ito. Honey Bee Waggle Dance as a Model of Swarm Intelligence. Journal of Robotics and Mechatronics. 2023
-
Chikage Todo, Keitaro Yamase, Hidetoshi Ikeno, Toko Tanikawa, Mizue Ohashi, Yasuhiro Hirano. Maximum Rooting Depth of Pinus thunbergii Parl. Estimated with Depth at the Center Point of Rotation in a Tree-Pulling Experiment in a Coastal Forest in Japan. Forests. 2022. 13. 9. 1506-1506
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Arata Yabuki, Hidetoshi Ikeno, Masako Dannoura. A root auto tracing and analysis (ARATA): An automatic analysis software for detecting fine roots in images from flatbed optical scanners. Methods in Ecology and Evolution. 2022
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Yuki Okamoto, Hidetoshi Ikeno, Yasuhiro Hirano, Toko Tanikawa, Keitaro Yamase, Chikage Todo, Masako Dannoura, Mizue Ohashi. 3D reconstruction using Structure-from-Motion: a new technique for morphological measurement of tree root systems. Plant and Soil. 2022
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MISC (145):
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岡本祐樹, 池野英利, 平野恭弘, 谷川東子, 山瀬敬太郎, 藤堂千景, 檀浦正子, 大橋瑞江. The impact of denoising method on morphological measurement of tree root system reconstructed by SfM. 日本生態学会大会講演要旨(Web). 2023. 70th
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吉川稜, 吉村正志, 小笠原昌子, 大橋瑞江, 木村敏文, 池野英利. Automatic abundance measurement and population counting of Collembola based on deep learning. 日本生態学会大会講演要旨(Web). 2023. 70th
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金子祥也, 谷川東子, 藤堂千景, 池野英利, 山瀬敬太郎, 大橋瑞江, 檀浦正子, 杁山哲矢, 黒見信輔, 平野恭弘. 巨礫を含む土壌に生育するスギ林根系の地中レーダを用いた検出精度. 日本森林学会大会学術講演集. 2023. 134th
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田邊智子, EPRON Daniel, EPRON Daniel, 檀浦正子, 谷川東子, 藤堂千景, 山瀬敬太郎, 池野英利, 大橋瑞江, 平野恭弘. 直径に対する肥大量は枝幹根で異なるか:温帯のクロマツを用いた検証. 日本森林学会大会学術講演集. 2023. 134th
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山形拓人, 池野英利, 木村敏文, 礒川悌次郎, 中路達郎, 大橋瑞江. 深層学習手法を用いた根圏画像からの細根抽出の性能比較. 日本森林学会大会学術講演集. 2023. 134th
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Professional career (1):
Work history (8):
- 2021/04 - 現在 The University of Fukuchiyama Faculty of Informatics Professor
- 2006/04 - 2021/03 University of Hyogo School of Human Science and Environment
- 2004/04 - 2006/03 University of Hyogo School of Human Science and Environment
- 1998/04 - 2004/03 Himeji Institute of Technology
- 1994/04 - 1998/03 Maizuru National College of Technology
- 1992/04 - 1994/03 Toyohashi University of Technology Faculty of Engineering
- 1989/06 - 1992/03 舞鶴高等工業専門学校 講師
- 1985/04 - 1989/05 舞鶴高等工業専門学校 助手
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