The Strategic International Brain Science Research Promotion Program (Brain/MINDS Beyond) “Research and Development on Next-Generation AI and its Key Technology Based on Nonlinear Dynamics”

1.1 Mathematics
1.2 Data science
1.5 Neuroscience
1.6 Complex system
2.1 Computing
3.3 Engineering
3.8 Informatics

Kazuyuki Aihara

International Research Center for Neurointelligence

Deputy Director , University Professor, The University of Tokyo

In this research project, we explore technological backgrounds of mathematical models related to information processing in the brain as well as next-generation AI based on such models. We will also review the possibility of the realization of such next-generation AI technology and trends of state-of-the-art research. Furthermore we shall propose important tasks necessary for the realization of next-generation AI that learns from the dynamic brain particularly from the viewpoint of nonlinear dynamics with a focus on both functions of the normal brain and dysfunctions of the impaired brain. Then, we will develop basic mathematical technology for innovative brain-type algorithms, and consider its applicability to robotics and mental illnesses.

Note: This project is one of the collaborative activities of the Next Generation Artificial Intelligence Research Center of the University of Tokyo.

Research and Development on Next-Generation AI and its Key Technology Based on Nonlinear Dynamics

Research collaborators

RIKEN Center for Advanced Intelligence Project (AIP)

Related publications

K. Aihara, R. Liu, K. Koizumi, X. Liu, and L. Chen: "Dynamical Network Biomarkers: Theory and Applications," Gene, Vol.808, Article No.145997, pp.1-10 (2021).
J. Shi, K. Aihara, and L. Chen: "Embedding Entropy: A Nonlinear Measure of Dynamical Causality," Journal of the Royal Society Interface, Vol.19, No.188, Article No.20210766, pp.1-12 (2022).
T. Inagaki, K. Inaba, T. Leleu, T. Honjo, T. Ikuta, K. Enbutsu, T. Umeki, R. Kasahara, K. Aihara, and H. Takesue: "Collective and Synchronous Dynamics of Photonic Spiking Neurons," Nature Communications, Vol.12, Article No.2325, pp.1-8 (2021).
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).
P. Chen, R. Liu, K. Aihara, and L. Chen: "Autoreservoir Computing for Multistep Ahead Prediction based on the Spatiotemporal Information Transformation," Nature Communications, Vol.11, Article No.4568, pp.1-15 (2020).