CiNet Hosoda Group

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Welcome to Hosoda group, CiNet

Brain Dynamics: Exploring Humanity and Life, Engineering AI and Neuromorphic Computing

  • Our group was launched in September 2021. We are currently working mainly on mathematical models and fMRI experiments.

Research

The specific research themes are as follows. We welcome bringing themes and collaborative research.

  • AI that Enables Insight
  • Whole-brain fMRI analysis of insight (with Eureka effect)
  • Fluctuation-driven super energy-saving computer
  • Hebbian-inspired One-shot learning for deep-neural-network models

    • Members

    We enjoy deep discussions with these members

  • Kazufumi Hosoda; Senior Researcher (PI) [Prof in Kobe-U, Osaka-U]
  • Misako Kimura; Collaborative researcher [M2 student in U-Hyogo]
  • Wataru Miyamori; Collaborative researcher [M2 student in Osaka-U]
  • Ayako Kawasaki; Collaborative researcher [M1 student in Kobe-U]
  • Komaki Kunishige; Research technician
  • Tsutomu Murata; Researcher (Advisor)
  • Tetsuya Yagi; Collaborative researcher (Advisor) [Prof Emeritus in Osaka-U]
  • Izumi Ohzawa; Invited Specialist (Advisor) [Prof Emeritus in Osaka-U]
  • Kunihiko Kaneko; Invited Specialist (Advisor) [Prof Emeritus in Tokyo-U, Prof in Niels Bohr Inst]

    • Publications

    Preprints

  • Tsutomu Murata, Komaki Kunishige, Shigeto Seno, Izumi Ohzawa, Kunihiko Kaneko, Toshio Yanagida, Masahiko Haruno and Kazufumi Hosoda (2025). "Superior colliculus coordinates whole-brain dynamics for sudden unconscious visual insight." bioRxiv: 2025.2004. 2009.648050.

    • Peer-reviewed

  • Hiroaki Ohishi, Soya Shinkai, Hitoshi Owada, Takeru Fujii, Kazufumi Hosoda, Shuichi Onami, Takashi Yamamoto, Yasuyuki Ohkawa and Hiroshi Ochiai (2024). "Transcription-coupled changes in genomic region proximities during transcriptional bursting." Science Advances 10(49): eadn0020.
  • Kazufumi Hosoda, Keigo Nishida, Shigeto Seno, Tomohiro Mashita, Hideki Kashioka and Izumi Ohzawa (2024). "A single fast Hebbian-like process enabling one-shot class addition in deep neural networks without backbone modification." Frontiers in Neuroscience 18.
  • Kosuke Tomimatsu, Takeru Fujii, Ryoma Bise, Kazufumi Hosoda, Yosuke Taniguchi, Hiroshi Ochiai, Hiroaki Ohishi, Kanta Ando, Ryoma Minami, Kaori Tanaka, Taro Tachibana, Seiichi Mori, Akihito Harada, Kazumitsu Maehara, Masao Nagasaki, Seiichi Uchida, Hiroshi Kimura, Masashi Narita, Yasuyuki Ohkawa (2024). "Precise immunofluorescence canceling for highly multiplexed imaging to capture specific cell states." Nature Communications 15: 3657
  • Kazufumi Hosoda, Shigeto Seno, Naomi Murakami, Hideo Matsuda, Yutaka Osada, Rikuto Kamiura and Michio Kondoh (2024). "Synthetic model ecosystem of 12 cryopreservable microbial species allowing for a noninvasive approach." Biosystems: 105087.
  • Kazufumi Hosoda, Shigeto Seno, Rikuto Kamiura, Naomi Murakami and Michio Kondoh (2023). "Biodiversity and Constrained Information Dynamics in Ecosystems: A Framework for Living Systems." Entropy 25(12): 1624. (Feature Paper)
  • Kazufumi Hosoda, Shigeto Seno and Tsutomu Murata (2023). "Simulating Reaction Time for Eureka Effect in Visual Object Recognition Using Artificial Neural Network." IIAI Letters on Informatics and Interdisciplinary Research 3. 60, (KICSS Best Crowd Award)
  • Yusuke Morito, Tsutomu Murata, “Accumulation System: Distributed Neural Substrates of Perceptual Decision Making Revealed by fMRI Deconvolution,” J. Neurosci., vol. 42, no. 24, pp. 4891?4912, Jun. 2022, doi: 10.1523/JNEUROSCI.1062-21.2022. (*draw journal attention: J Neurosci 42: 8596?8598, 2022)

    • Patents

  • International: PCT/JP2023/30480; Autoencoding system, program, and method
  • Japanese: 2022-107734; Learning systems, machine learning programs, and machine learning methods

    • Access & Contact

    E-mail: hosodak at nict.go.jp
    〒565-0871  1-4 Yamadaoka, Suita City, Osaka, 565-0871
    Center for Information and Neural Networks (CiNet)
    (in Osaka university)