Rchr
J-GLOBAL ID:201501042919272600
Update date: Aug. 22, 2024
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
- 2015 - 2018 変数選択結果の対数線形モデルを用いた再解析による安定性向上と多重変数集合の抽出
- 2012 - 2015 Development of Malware Detection/Classification System Introducing Incremental Learning and Active Learning
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Papers (26):
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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. ICLR 2024 Workshop on Representational Alignment. 2024
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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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Tomoya Taguchi, Jun Kitazono, Shuntaro Sasai, Masafumi Oizumi. Association of bidirectional network cores in the brain with conscious perception and cognition. 2024
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Daiki Kiyooka, Ikumi Oomoto, Jun Kitazono, Midori Kobayashi, Chie Matsubara, Kenta Kobayashi, Masanori Murayama, Masafumi Oizumi. Single-cell resolution functional networks during sleep are segregated into spatially intermixed modules. 2023
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Shunsuke Kamiya, Genji Kawakita, Shuntaro Sasai, Jun Kitazono, Masafumi Oizumi. Optimal Control Costs of Brain State Transitions in Linear Stochastic Systems. The Journal of Neuroscience. 2022. 43. 2. 270-281
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MISC (28):
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北園 淳. システムのコア抽出のための新しい枠組み -統合情報理論の劣モジュラ性に基づく拡張-. 日本ロボット学会誌. 2023. 41. 8. 688-691
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田口智也, 北園淳, 笹井俊太朗, 大泉匡史. Network cores of the human functional connectome. 信学技報. 2021. 120. 403
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木村武龍, 窪田智之, 北園淳, 大泉匡史, 高橋宏知. Characterization of Neural Network by Integrated Information Theory. 電気学会研究会資料. 2019. MBE-19-001-012.014-024
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Visualization of Darknet Traffic and Its Online Update for Monitoring. 2016. 2016. 2. 397-402
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An Autonomous DDoS Backscatter Detection System from Darknet Traffic. 2016. 115. 488. 123-128
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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
- 2013/04 - 2014/03 The University of Tokyo Graduate School of Frontier Sciences
- 2010/04 - 2013/03 Japan Society for the Promotion of Science
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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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