Laboratories for Mathematics, Lifesciences, and Informatics

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• Takahiro Inagaki, Kensuke Inaba, Timothee Leleu, Toshimori Honjo, Takuya Ikuta, Koji Enbutsu, Takeshi Umeki, Ryoichi Kasahara, Kazuyuki Aihara, and Hiroki Takesue: "Collective and Synchronous Dynamics of Photonic Spiking Neurons," Nature Communications, Vol.12, Article No.2325, pp.1-8 (2021).
• Keisuke Ejima, Kwang Su Kim, Shoya Iwanami, Yasuhisa Fujita, Ming Li, Roger S. Zoh, Kazuyuki Aihara, Taiga Miyazaki, Takaji Wakita and Shingo Iwami: "Time Variation in the Probability of Failing to Detect a Case of Polymerase Chain Reaction Testing for SARS-CoV-2 as Estimated from a Viral Dynamics Model," Journal of the Royal Society Interface, Vol.8, No.177, 20200947, pp.1-7 (2021).
• Rui Liu, Jiayuan Zhong, Renhao Hong, Ely Chen, Kazuyuki Aihara, Pei Chen, and Luonan Chen: "Predicting local COVID-19 Outbreaks and Infectious Disease Epidemics based on Landscape Network Entropy," Science Bulletin, doi:10.1016/j.scib.2021.03.022 (2021).
• Japan Times "Fourth wave takes shape as COVID-19 cases increase across Japan ".
• Shunya Okuno, Koji Ikeuchi, Kazuyuki Aihara: "Practical Data‐Driven Flood Forecasting Based on Dynamical Systems Theory," Water Resources Research, Vol.57, No.3, e2020WR028427, pp.1-18 (2021).
• Daisuke Inoue, Akihisa Okada, Tadayoshi Matsumori, Kazuyuki Aihara, and Hiroaki Yoshida: "Traffic Signal Optimization on a Square Lattice with Quantum Annealing," Scientific Reports, Vol.11, Article No.3303, pp.1-12 (2021).
• Yusuke Sakemi, Kai Morino, Timothee Leleu, and Kazuyuki Aihara: "Model-size reduction for reservoir computing by concatenating internal states through time," Scientific Reports, Vol.10, Article No.21794, pp.1-13 (2020).
• Pei Chen, Rui Liu, Kazuyuki Aihara, and Luonan Chen: "Autoreservoir computing for multistep ahead prediction based on the spatiotemporal information transformation," Nature Communications, Vol.11, Article No.4568, pp.1-15 (2020).
• S. Leng, H. Ma, J. Kurts, Y.-C. Lai, W. Lin, K. Aihara, and L. Chen: "Partial Cross Mapping Eliminates Indirect Causal Influences," Nature Communications, Vol.11, Article No.2632, pp.1-9 (2020).
• Y. Itoh, S. Uenohara, M. Adachi, T. Morie, and K. Aihara: "Reconstructing Bifurcation Diagrams Only from Time-series Data Generated by Electronic Circuits in Discrete-time Dynamical Systems," Chaos, Vol.30, No.1, 013128-1-11 (2020).
• M.K. Kajita, K. Aihara, and T.J. Kobayashi: "Reliable Target Ligand Detection by Noise-induced Receptor Cluster Formation," Chaos: An Interdisciplinary Journal of Nonlinear Science, Vol.30, No.1, 011104-1-6 (2020).
• S. Okuno, K. Aihara, and Y. Hirata: "Forecasting high-dimensional Dynamics Exploiting Suboptimal Embeddings," Scientific Reports, Vol.10, Article No.664, pp.1-11 (2020).
• T. Leleu, Y. Yamamoto, P.L. McMahon, and K. Aihara: "Destabilization of Local Minima in Analog Spin Systems by Correction of Amplitude Heterogeneity," Physical Review Letters, Vol.122, 040607-1-6 (2019).
• S. Tsuji and K. Aihara: "Criterion for Determining the Optimal Delay of Attractor Reconstruction using Persistent Homology," Nonlinear Theory and Its Applications, IEICE, No.10, No.1, pp.74-89 (2019).
• H. Ma, S. Leng, K. Aihara, W. Lin, and L. Chen: "Randomly Distributed Embedding Making Short-term High-dimensional Data Predictable," Proceedings of the National Academy of Sciences of the United States of America, Vol.115, No.43, pp.E9994-E10002 (2018).
• Special Seminar by Prof. Dr. Wolfgang Maass:"How do networks of spiking neurons compute and learn?" will be held on November 12th, 2018 (registration).
• D. Ito, T. Ueta, K. Aihara: "Bifurcation Analysis of Eight Coupled Degenerate Optical Parametric Oscillators," Physica D, Vol.372, pp.22-30 (2018).
• "Special issue on The second step of the FIRST," Nonlinear Theory and Its Applications, IEICE, Vol.9, No.2 (2018).
• International Workshop on Early-warning signals from Fundamentals to Applications was held at IIS on March 5-6th, 2018.
• Y. Hirata, K. Morino, K. Akakura, C.S. Higano, and K. Aihara: "Personalizing Androgen Suppression for Prostate Cancer Using Mathematical Modeling," Scientific Reports, Vol.8, Article No.2673, pp.1-8 (2018).
• B. Schäfer, C. Beck, K. Aihara, D. Witthaut, and M. Timme: "Non-Gaussian Power Grid Frequency Fluctuations Characterized by Lévy-stable Laws and Superstatistics," Nature Energy, Vol.3, No.2, pp.119-126 (2018) (arxiv:1807.08496).
• A. Yamamura, K. Aihara, and Y. Yamamoto: "Quantum Model for Coherent Ising Machines: Discrete-time Measurement Feedback Formulation," Physical Review A, Vol.96, No.5, 053834, pp.1-8 (2017).
• T. Shoji, K. Aihara, and Y. Yamamoto: "Quantum Model for Coherent Ising Machines: Stochastic Differential Equations with Replicator Dynamics," Physical Review A, Vol.96, No.5, 053833, pp.1-8 (2017).
• P. Christodoulides, Y. Hirata, E. Domínguez-Hüttinger, S.G. Danby, M.J. Cork, H.C. Williams, Kazuyuki Aihara, and R.J. Tanaka: "Computational Design of Treatment Strategies for Proactive Therapy on Atopic Dermatitis using Optimal Control Theory," Philosophical Transactions of the Royal Society Series A, Vol.375, No.2096 (2017).
• Y. Hirata and K. Aihara: "Improving Time Series Prediction of Solar Irradiance after Sunrise: Comparison among Three Methods for Time Series Prediction," Solar Energy, Vol.149, pp.294-301 (2017).
• K. Kamiyama, M. Komuro, and K. Aihara: "Homoclinic Cycle Bifurcations in Planar Maps," International Journal of Bifurcation and Chaos, Vol.27, No.3, 1730012, pp.1-11 (2017).
• M. Nagata, Y. Hirata, N. Fujiwara, G. Tanaka, H. Suzuki, and K. Aihara: "Smoothing effect for spatially distributed renewable resources and its impact on power grid robustness," Chaos, Vol.27, Article No.033104 (2017).
• Y. Li, M. Oku, G. He, and K. Aihara: "Elimination of Spiral Waves in a Locally Connected Chaotic Neural Network by a Dynamic Phase Space Constraint," Neural Networks, Vol.88, pp.9-21 (2017).
• T. Leleu, Y. Yamamoto, S. Utsunomiya, and K. Aihara: "Combinatorial Optimization using Dynamical Phase Transitions in Driven-dissipative Systems," Physical Review E, Vol.95, No.2, pp.022118-1-18 (2017).
• T. Yuan, K. Aihara, and G. Tanaka: "Robustness and Fragility in Coupled Oscillator Networks under Targeted Attacks," Physical Review E, Vol.95, No.1, pp.012315-1-6 (2017).
• J.M. Amigo, Y. Hirata, and K. Aihara: "On the Limits of Probabilistic Forecasting in Nonlinear Times Series Analysis," Chaos, Vol.26, No.12, pp.123114-1-7 (2016).
• C.T. Urabe, G. Tanaka, K. Aihara, and M. Mimura: "Parameter Scaling for Epidemic Size in a Spatial Epidemic Model with Mobile Individuals," PLOS ONE, Vol.11, No.12, e0168127, pp.1-16 (2016).
• T. Inagaki, Y. Haribara, K. Igarashi, T. Sonobe, S. Tamate, T. Honjo, A. Marandi, P.L. McMahon, T. Umeki, K. Enbutsu, O. Tadanaga, H. Takenouchi, K. Aihara, K. Kawarabayashi, K. Inoue, S. Utsunomiya, and H. Takesue: "A Coherent Ising Machine for 2000-node Optimization Problems," Science, Vol.354, No.6312, pp.603-606 (2016).
• P.L. McMahon, A. Marandi, Y. Haribara, R. Hamerly, C. Langrock, S. Tamate, T. Inagaki, H. Takesue, S. Utsunomiya, K. Aihara, R.L. Byer, M.M. Fejer, H. Mabuchi, and Y. Yamamoto: "A Fully-programmable 100-spin Coherent Ising Machine with All-to-all Connections," Science, Vol.354, No.6312, pp.614-617 (2016).

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_ Affiliation

• Institute of Industrial Science, The University of Tokyo
• Department of Mathematical Informatics, Graduate School of Information Science and Technology, The University of Tokyo
• Department of Electrical Engineering and Information Systems, Graduate School of Engineering, The University of Tokyo
• Department of Mathematical Engineering and Information Physics, Faculty of Engineering, The University of Tokyo
• Collaborative Research Center for Innovative Mathematical Modelling, Institute of Industrial Science, The University of Tokyo(March 4, 2010-March 31, 2018)

_ Collaborative research

• ERATO Aihara Complexity Modelling Project, JST
• FIRST Aihara Innovative mathematical Modelling Project

_ Academic-industrial alliance

• Social Cooperation Program "Energy Efficient Information Processing"
• Social Cooperation Program "Mathematical Engineering for Complex Social Systems in Future"
• Social Cooperation Program "Brain-Morphic AI to Resolve Social Issues"
• Aihara Electrical Engineering Co., Ltd.
• Sunday Chaos Times
• Anti spam service "+abmail"

_ Medical researches on humans

• Study on recurrent dynamics of prostate cancer using mathematical models