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J-GLOBAL ID:201501042919272600   Update date: May. 13, 2025

Kitazono Jun

キタゾノ ジュン | Kitazono Jun
Affiliation and department:
Job title: Associate Professor
Research field  (1): Neuroscience - general
Research theme for competitive and other funds  (7):
  • 2023 - 2024 統合情報理論の劣モジュラ性に基づく拡張とその神経科学への応用
  • 2020 - 2023 統合情報理論の劣モジュラ性に基づく拡張とその神経科学への応用
  • 2016 - 2020 Online Learning Algorithms for Real-time Detection, Classification, and Visualization of Cyberattacks
  • 2019 - 2020 グラフに拡張した統合情報理論の神経科学データへの応用
  • 2018 - 2019 「協調」の情報理論に基づく定量化
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Papers (28):
  • Ken Takeda, Kota Abe, Jun Kitazono, Masafumi Oizumi. Unsupervised alignment reveals structural commonalities and differences in neural representations of natural scenes across individuals and brain areas. iScience. 2025. 28. 5. 112427-112427
  • Mikito Ogino, Daiki Sekizawa, Jun Kitazono, Masafumi Oizumi. Designing optimal perturbation inputs for system identification in neuroscience. bioRxiv. 2025
  • Tomoya Taguchi, Jun Kitazono, Shuntaro Sasai, Masafumi Oizumi. Association of bidirectional network cores in the brain with perceptual awareness and cognition. The Journal of Neuroscience. 2025. e0802242025-e0802242025
  • Yumi Shikauchi, Mitsuaki Takemi, Leo Tomasevic, Jun Kitazono, Hartwig R Siebner, Masafumi Oizumi. Quantifying state-dependent control properties of brain dynamics from perturbation responses. bioRxiv. 2025
  • Shunsuke Kamiya, Jun Kitazono, Masafumi Oizumi. Koopman Operator Based Dynamical Similarity Analysis for Data-driven Quantification of Distance between Dynamics. ICLR 2024 Workshop on Representational Alignment. 2024
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MISC (28):
Education (4):
  • 2010 - 2013 The University of Tokyo Graduate School of Frontier Sciences Department of Complexity Science and Engineering
  • 2008 - 2010 The University of Tokyo Graduate School of Frontier Sciences Department of Complexity Science and Engineering
  • 2006 - 2008 The University of Tokyo College of Arts and Sciences Department of Basic Science
  • 2004 - 2006 The University of Tokyo College of Arts and Sciences
Professional career (2):
  • 博士(科学) (東京大学)
  • 修士(科学) (東京大学)
Work history (7):
  • 2024/04 - 現在 Yokohama City University School of Data Science
  • 2019/04 - 2024/03 The University of Tokyo Graduate School of Arts and Sciences
  • 2016/12 - 2019/03 株式会社アラヤ シニアリサーチャー
  • 2014/05 - 2016/11 Kobe University Graduate School of Engineering Department of Electrical and Electronic Engineering
  • 2014/04 - 2014/04 The University of Tokyo Graduate School of Frontier Sciences
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Awards (3):
  • 2019 - JST AIPネットワークラボ長賞(1位)
  • 2016 - システム制御情報学会 システム制御情報学会奨励賞 Minimum Probability Flowによるt分布型確率的近傍埋め込み法の高速化
  • 2013 - 一般社団法人情報処理学会 FIT奨励賞
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