Institute of Industrial Science, The University of Tokyo
Mathematical Modeling of Complex Systems and Applications to Neurointelligence
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 brain dynamics to realize neurointelligence.
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., Imura, J. and Ueta, T.(Eds.) (2015) Analysis and Control of Complex Dynamical Systems: Robust Bifurcation, Dynamic Attractors, and Network Complexity. Springer Japan.
Aihara, K.(Ed.) (2010) Theory of Hybrid Dynamical Systems and its Applications to Biological and Medical Systems. Phil Trans Roy Soc A 368(1930).
Aihara, K. (2002) Chaos Engineering and its Application to Parallel Distributed Processing with Chaotic Neural Networks. Proc IEEE 90(5):919-930.
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 and 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 for CSTP (Council for Science and Technology Policy).