Rchr
J-GLOBAL ID:201201086911506209   Update date: Apr. 18, 2024

Nakae Ken

ナカエ ケン | Nakae Ken
Affiliation and department:
Job title: Associate Professor
Homepage URL  (1): https://scholar.google.com/citations?hl=ja&user=XOE-MT8AAAAJ
Research field  (3): Neuroscience - general ,  Biological, health, and medical informatics ,  Statistical science
Research keywords  (3): Machine Learning ,  Neuroscience ,  Statistical Science
Research theme for competitive and other funds  (4):
  • 2022 - 2027 行動変容を創発する脳ダイナミクスの解読と操作が拓く多元生物学
  • 2022 - 2027 脳回路動態に基づく行動変容の標準化
  • 2019 - 2024 革新脳データベースに基づいたデータ駆動型統合モデルの開発
  • 2015 - 2017 深層学習を応用した全脳を対象とする神経活動伝播経路の解明
Papers (25):
  • Kanako Muta, Yawara Haga, Junichi Hata, Takaaki Kaneko, Kei Hagiya, Yuji Komaki, Fumiko Seki, Daisuke Yoshimaru, Ken Nakae, Alexander Woodward, et al. Commonality and variance of resting-state networks in common marmoset brains. Scientific reports. 2024. 14. 1. 8316-8316
  • Takuto Okuno, Junichi Hata, Yawara Haga, Kanako Muta, Hiromichi Tsukada, Ken Nakae, Hideyuki Okano, Alexander Woodward. Group Surrogate Data Generating Models and similarity quantification of multivariate time-series: A resting-state fMRI study. NeuroImage. 2023. 279. 120329-120329
  • Henrik Skibbe, Muhammad Febrian Rachmadi, Ken Nakae, Carlos Enrique Gutierrez, Junichi Hata, Hiromichi Tsukada, Charissa Poon, Matthias Schlachter, Kenji Doya, Piotr Majka, et al. The Brain/MINDS Marmoset Connectivity Resource: An open-access platform for cellular-level tracing and tractography in the primate brain. PLOS Biology. 2023. 21. 6. e3002158-e3002158
  • Akiya Watakabe, Henrik Skibbe, Ken Nakae, Hiroshi Abe, Noritaka Ichinohe, Muhammad Febrian Rachmadi, Jian Wang, Masafumi Takaji, Hiroaki Mizukami, Alexander Woodward, et al. Local and long-distance organization of prefrontal cortex circuits in the marmoset brain. Neuron. 2023. 111. 14. 2258-2273
  • Junichi Hata, Ken Nakae, Hiromichi Tsukada, Alexander Woodward, Yawara Haga, Mayu Iida, Akiko Uematsu, Fumiko Seki, Noritaka Ichinohe, Rui Gong, et al. Multi-modal brain magnetic resonance imaging database covering marmosets with a wide age range. Scientific Data. 2023. 10. 1
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MISC (23):
  • 中江 健. 【革新脳と関連プロジェクトから見えてきた新しい脳科学】霊長類脳科学 b)マーモセット脳のconnectome・構造マッピング解析 革新脳データベースに基づくデータ駆動型統合モデルの開発. 生体の科学. 2022. 73. 5. 416-417
  • 浦久保 秀俊, 渡我部 昭哉, 中江 健, 石井 信, 銅谷 賢治. 【AI・機械学習・自動化定量解析】コネクトーム ミクロ・メゾ・マクロレベルの新展開. 解剖学雑誌. 2022. 97. 2. 41-44
  • 中江健, 浦久保秀俊, 東広志, 田中康裕, 島崎秀昭, 尾藤晴彦, 石井信. 2019 年度時限研究会 システム神経科学スプリングスクール 2019 (SNSS2019) 実施報告書. 日本神経回路学会誌. 2019. 26. 3. 99-103
  • H. Skibbe, A. Watakabe, K. Nakae, C.E. Gutierrez, H. Tsukada, J.K.T. Hata, R. Gong, A. Woodward, K. Doya, H. Okano, et al. MarmoNet: a pipeline for automated projection mapping of the common marmoset brain from whole-brain serial two-photon tomography. https://arxiv.org/abs/1908.00876. 2019. abs/1908.00876
  • SKIBBE Henrik, WATAKABE Akiya, NAKAE Ken, GUTIERREZ Carlos Enrique, WOODWARD Alexander, TSUKADA Hiromichi, GONG Rui, HATA Junichi, HATA Junichi, DOYA Kenji, et al. Fully automated data processing for mapping connectivity of the marmoset prefrontal cortex. 日本神経化学会大会抄録集(Web). 2019. 62nd
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Education (3):
  • 2008 - 2011 The Graduate University for Advanced Studies Department of Statistical Science
  • 2006 - 2008 Kyoto University Graduate School of Informatics
  • 2002 - 2006 Kyoto University Faculty of Engineering
Professional career (1):
  • Ph.D (SOKENDAI)
Work history (4):
  • 2022/12 - 現在 National Institutes of Natural Sciences ExCELLS Associate Professor
  • 2019/04 - 2022/12 Kyoto University Graduate School of Informatics Program-specific Assistant Professor
  • 2017/04 - 2019/03 Kyoto University Graduate School of Informatics Specially Appointed Assistant Professor
  • 2011/04 - 2017/03 Kyoto University Graduate School of Informatics Program-specific Researcher
Committee career (2):
  • 2019/04 - 現在 革新的技術による脳機能ネットワークの全容解明プロジェクト データベース委員会
  • 2014/04 - 2019/03 革新的技術による脳機能ネットワークの全容解明プロジェクト データベース技術委員会
Awards (1):
  • 2010 - 統計関連連合大会 優秀報告賞
Association Membership(s) (5):
日本神経回路学会 ,  日本科学振興協会 ,  THE JAPAN NEUROSCIENCE SOCIETY ,  THE JAPAN STATISTICAL SOCIETY ,  日本物理学会
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