Kazuyuki Aihara, Ph.D.
IRCN Executive Director / Principal Investigator
Computation
University Professor
Mathematical Modeling of Complex Systems and Applications to Neurointelligence
Research
I have been studying mathematical theory for modelling complex systems and its wide-ranging transdisciplinary applications in science and technology from the viewpoint of mathematical engineering and chaos engineering. In particular, I developed a theoretical platform composed of (1) advanced control theory of complex systems, (2) complex network theory, and (3) nonlinear data analysis and data-driven modelling. On the applications side, I am working to bridge neuroscientific and clinical studies with next-generation AI by mathematical modeling and analyses of complex brain dynamics to realize neurointelligence at IRCN.
Publications
Masuda, N., Aihara, K. and MacLaren, N.G. (2024) Anticipating Regime Shifts by Mixing Early Warning Signals from Different Nodes. Nature Comm 15(1): 1086, 1-15.
Sakemi, Y., Nobukawa, S., Matsuki, T., Morie, T., and Aihara, K. (2024) Learning Reservoir Dynamics with Temporal Self-Modulation. Comm Phys 7: 29, 1-11 (2024).
Sakemi, Y., Yamamoto, K., Hosomi, T., and Aihara, K. (2023) Sparse-firing Regularization Methods for Spiking Neural Networks with Time-to-first-spike Coding. Scientific Reports 13: 22897, 1-12.
Tong, Y., Hong, R., Zhang, Z., Aihara, K., Chen, P., Liu, R., and Chen, L. (2023) Earthquake Alerting based on Spatial Geodetic Data by Spatiotemporal Information Transformation Learning. Proc Natl Acad Sci USA 120(37): e2302275120, 1-12.
Kanamaru, T., Hensch, TK., and Aihara, K. (2023) Maximal Memory Capacity Near the Edge of Chaos in Balanced Cortical E-I Networks. Neural Computation 35(8): 1430-1462.
Sakemi, Y., Morino, K., Morie, T., and Aihara, K. (2023) A Supervised Learning Algorithm for Multilayer Spiking Neural Networks Based on Temporal Coding Toward Energy-Efficient VLSI Processor Design. IEEE Trans Neural Networks and Learning Systems 34(1): 394-408.
Tanaka, G., Matsumori, T., Yoshida, H., and Aihara, K. (2022) Reservoir Computing with Diverse Timescales for Prediction of Multiscale Dynamics. Phys Rev Res 4(3): L032014, 1-7.
Aihara, K., Liu, R., Koizumi, K., Liu, X., and Chen, L. (2022) Dynamical Network Biomarkers: Theory and Applications. Gene 808: 145997, 1-10.
Inagaki, T., Inaba, K., Leleu, T., Honjo, T., Ikuta, T., Enbutsu, K., Umeki, T., Kasahara, R., Aihara, K., and Takesue, H. (2021) Collective and Synchronous Dynamics of Photonic Spiking Neurons. Nature Comm 12: 2325, 1-8.
Chen, P., Liu, R., Aihara, K., and Chen, L. (2020) Autoreservoir Computing for Multistep Ahead Prediction based on the Spatiotemporal Information Transformation. Nature Communications 11: 4568, 1-15.
Leng, S., Ma, H., Kurts, J., Lai, Y-C., Lin, W., Aihara, K., and Chen, L. (2020) Partial Cross Mapping Eliminates Indirect Causal Influences. Nature Comm 11: 2632, 1-9.
Omi, T., Ueda, N., and Aihara, K. (2019) Fully Neural Network based Model for General Temporal Point Processes. Advances in Neural Information Processing Systems 32 (NeurIPS 2019): 2120-2129.
Leleu, T., Yamamoto, Y., McMahon, P., and Aihara, K. (2019) Destabilization of Local Minima in Analog Spin Systems by Correction of Amplitude Heterogeneity. Physical Review Letters 122(4): 040607, 1-6.
Ma, H., Leng, S., Aihara, K., Lin, W., and Chen, L. (2018) Randomly Distributed Embedding Making Short-term High-dimensional Data Predictable. Proc Natl Acad Sci USA 115(43): E9994-E10002.
Schäfer, B., Beck, C., Aihara, K., Witthaut, D. and Timme, M. (2018) Non-Gaussian Power Grid Frequency Fluctuations Characterized by Lévy-stable Laws and Superstatistics. Nature Energy 3(2): 119-126.
McMahon, P.L., Marandi, A., Haribara, Y., Hamerly, R., Langrock, C., Tamate, S., Inagaki, T., Takesue, H., Utsunomiya, S., Aihara, K., Byer, R.L., Fejer, M.M., Mabuchi, H. and Yamamoto, Y. (2016) A Fully-programmable 100-spin Coherent Ising Machine with All-to-all Connections. Science 354(6312): 614-617.
Inagaki, T., Haribara, Y., Igarashi, K., Sonobe, T., Tamate, S., Honjo, T., Marandi, A., McMahon, P.L., Umeki, T., Enbutsu, K., Tadanaga, O., Takenouchi, H., Aihara, K., Kawarabayashi, K., Inoue, K., Utsunomiya, S. and Takesue, H. (2016) A Coherent Ising Machine for 2000-node Optimization Problems. Science 354(6312): 603-606.
Fujioka, E., Aihara, I., Sumiya, M., Aihara, K. and Hiryu, S (2016) Echolocating Bats Use Future-target Information for Optimal Foraging. Proc Natl Acad Sci USA 113(17): 4848-4852.
Takahashi, N., Hirata, Y., Aihara, K. and Mas, P. (2015) A Hierarchical Multi-oscillator Network Orchestrates the Arabidopsis Circadian System. Cell 163(1): 148-159
Aihara, K. (2002) Chaos Engineering and its Application to Parallel Distributed Processing with Chaotic Neural Networks. Proc IEEE 90(5): 919-930.
Biography
I received a B.E. degree in electrical engineering and Ph.D. degree in electronic engineering from the University of Tokyo (UTokyo), Tokyo, Japan, in 1977 and 1982, respectively. I led the ERATO (Exploratory Research for Advanced Technology) Aihara Complexity Modelling project for JST (Japan Science and Technology Agency) from 2003 to 2008, the FIRST Innovative Mathematical Modelling project by JSPS (Japan Society for the Promotion of Science) through the FIRST (Funding Program for World-Leading Innovative R&D Science and Technology) program from 2010 to 2014 and am now leading Aihara Moonshot project by JST and Cabinet Office of Japan . I am now University Professor、Professor Emeritus and IRCN Executive Director of the University of Tokyo, and also Special Advisor of RIKEN AIP.
