Preprint
- Kento Nakamura, Keita Endo, and Hokto Kazama
Synaptic and potential fluctuations drive representational drift with differential effects on discrimination learning
bioRxiv:2025.09.30.679426, 2025. [bioRxiv]
Journal Papers (Refereed)
- Kento Nakamura, Hajime Fukuoka, Akihiko Ishijima, and Tetsuya J. Kobayashi
Quantification of Information Flow by Dual Reporter System and Its Application to Bacterial Chemotaxis
Physical Review Letters, 136, 108403, 2026. [journal] - Kento Nakamura and Tetsuya J. Kobayashi
Gradient sensing limit of an elongated cell with orientational control
Physical Review E, 110, 064407, 2024. [journal] [arXiv] - Kento Nakamura and Tetsuya J. Kobayashi
Optimal sensing and control of run-and-tumble chemotaxis
Physical Review Research, 4, 013120, 2022. [journal] - Kento Nakamura and Tetsuya J. Kobayashi
Connection between the bacterial chemotactic network and optimal filtering
Physical Review Letters, 126, 128102, 2021. [journal] [arXiv] - Kento Nakamura, Keisuke Yano, and Fumiyasu Komaki
Adjacency-based regularization for partially ranked data with non-ignorable missing
Computational Statistics & Data Analysis, 145, 106905, 2020. [journal]
International conferences
Oral presentation
- Kento Nakamura, Hajime Fukuoka, Akihiko Ishijima, and Tetsuya J. Kobayashi
Quantifications of information flow based on dual reporter systems and its application to bacterial chemotaxis
Quantitative Microbiology Symposium, Academia Sinica, Taipei, Taiwan, May. 18 - 19, 2026. [link] - Kento Nakamura, Hajime Fukuoka, Akihiko Ishijima, and Tetsuya J. Kobayashi
Quantifications of information flow based on dual reporter systems and its application to bacterial chemotaxis
Computational & Physical Understanding of Biological Information Processing, OIST, Okinawa, Japan, Mar. 3 - 15, 2025. [link] - Kento Nakamura, Keisuke Yano, and Fumiyasu Komaki
Modeling the missing mechanism in partially ranked data with adjacency-based regularization
4th International Conference on Econometrics and Statistics (EcoSta2021), Online, Jun. 24 - 26, 2021. [link]
Poster presentations
- Kento Nakamura, Hajime Fukuoka, Akihiko Ishijima, and Tetsuya J. Kobayashi
Quantifications of information flow based on dual reporter systems and its application to bacterial chemotaxis
Quantitative Microbiology Symposium, Academia Sinica, Taipei, Taiwan, May. 18 - 19, 2026. [link] - Kento Nakamura, Hajime Fukuoka, Akihiko Ishijima, and Tetsuya J. Kobayashi
Quantifications of information flow based on dual reporter systems and its application to bacterial chemotaxis
Computational & Physical Understanding of Biological Information Processing, OIST, Okinawa, Japan, Mar. 3 - 15, 2025. [link] - Kento Nakamura, Keita Endo, and Hokto Kazama
Synaptic fluctuation induces representational drift while preserving discriminability
Bernstein Conference 2024, Frankfut am Main, Germany, Sep. 29 - Oct. 2, 2024. [link] - Kento Nakamura and Tetsuya J. Kobayashi
Limits of gradient sensing with a dynamically changing cell shape
The 28th International Conference on Statistical Physics (Statphys28), Tokyo, Japan, Aug. 7-11, 2023. [link] - Kento Nakamura and Tetsuya J. Kobayashi
Optimal information processing and motor control of run-and-tumble chemotaxis under stochastic fluctuation
The 12th European Conference on Mathematical and Theoretical Biology (ECMTB), Heidelberg, Germany, Sep. 19-23, 2022. [link] - Kento Nakamura and Tetsuya J. Kobayashi
Biochemical implementation of optimal control for run-and-tumble chemotaxis
The 20th Congress of the International Union for Pure and Applied Biophysics (IUPAB), Online, Oct. 4 - 8, 2021. [link] - Kento Nakamura and Tetsuya J. Kobayashi
A cellular sensory system optimally decodes information from noisy signals
2021 Southern California Systems Biology Symposium, Online, Mar. 5, 2021. [link] - Kento Nakamura and Tetsuya J. Kobayashi
Optimality of the sensory system of Escherichia coli
Society of Mathematical Biology Annual Meeting, Online, Aug. 17 - 20, 2020. [link]