Rchr
J-GLOBAL ID:201401076599735954   Update date: Feb. 01, 2024

Higashi Hiroshi

ヒガシ ヒロシ | Higashi Hiroshi
Affiliation and department:
Research field  (2): Cognitive sciences ,  Basic brain sciences
Research theme for competitive and other funds  (9):
  • 2019 - 2023 Time dynamics on information propagation in human brain performing hierarchical structure learning
  • 2020 - 2021 Pupillometory of glare perception - a medical diagnostic aid based on cognitive neuroscience and its application to visual environment assessment
  • 2017 - 2021 グレア知覚の他覚的計測-認知神経科学に基づく医療診断補助と視環境評価への展開
  • 2015 - 2018 Sparse detection from multi-channel surface electroencephalogram response to visual stimuli
  • 2015 - 2018 Modeling of brain prediction mechanisms by advanced data-driven methods
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Papers (19):
  • Kenichi Ito, Hiroshi Higashi, Ari Hietanen, Pauli Fält, Kyoko Hine, Markku Hauta-Kasari, Shigeki Nakauchi. The Optimization of the Light-Source Spectrum Utilizing Neural Networks for Detecting Oral Lesions. Journal of Imaging. 2022. 9. 1. 7-7
  • Shigeki Nakauchi, Taisei Kondo, Yuya Kinzuka, Yuma Taniyama, Hideki Tamura, Hiroshi Higashi, Kyoko Hine, Tetsuto Minami, João M. M. Linhares, Sérgio M. C. Nascimento. Universality and superiority in preference for chromatic composition of art paintings. Scientific Reports. 2022. 12. 1
  • Andrea Bonci, Simone Fiori, Hiroshi Higashi, Toshihisa Tanaka, Federica Verdini. An Introductory Tutorial on Brain-Computer Interfaces and Their Applications. Electronics. 2021. 10. 5. 560-560
  • Takashi Nishimoto, Hiroshi Higashi, Hiroshi Morioka, Shin Ishii. EEG-based personal identification method using unsupervised feature extraction and its robustness against intra-subject variability. Journal of Neural Engineering. 2020. 17. 2. 026007-026007
  • Hiroshi Higashi, Minh Vu Bui, Ahmad Syahir Bin Aziz, Shigeki Nakauchi. Computational lighting for extracting optical features from RGB images. Measurement. 2020. 151. 107183
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MISC (26):
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Lectures and oral presentations  (33):
  • Brain Dynamics Encoding from Visual Input during Free Viewing of Natural Videos
    (Proceedings of the International Joint Conference on Neural Networks 2019)
  • Smoothing of xDAWN spatial filters for robust extraction of event-related potentials
    (2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2016 2017)
  • A visualization method for hand cleanness using fluorescent spectrum
    (4th IGNITE Conference and 2016 International Conference on Advanced Informatics: Concepts, Theory and Application, ICAICTA 2016 2016)
  • Optimization of illuminant spectrum for visual detection of foreign substances in jams
    (4th IGNITE Conference and 2016 International Conference on Advanced Informatics: Concepts, Theory and Application, ICAICTA 2016 2016)
  • Spatial smoothing of canonical correlation analysis for steady state visual evoked potential based brain computer interfaces
    (Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2016)
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Education (2):
  • 2007 - 2013 Tokyo University of Agriculture and Technology
  • 2002 - 2007 Miyakojo College, National Institute of Technology The Department of Electrical Engineering
Work history (2):
  • 2018/08 - 現在 Kyoto University Graduate School of Informatics Assistant Professor
  • 2014/04 - 2018/07 Toyohashi University of Technology Graduate School of Engineering Assistant Professor
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