Laboratories for Mathematics, Lifesciences, and Informatics
Research TopicsMathematical Analysis of Complex Systems
In order to comprehend diverse complex systems ranging over biology, brain science, and socio-economics, we are developing new mathematical techniques based on, e.g., bifurcation theory, time-series analysis, and statistics, and trying to construct universal theoretical frameworks for complex systems.
Understanding Information processing of biological systems
In order to unveil the design principle of biological systems and their information processing, we are working on theoretical biology and bioinformatics for different types of biological phenomena and data, which cover neuroscience, cell biology, developmental biology, immunology, physiology, epidemics, bioimaging, and next-generation sequencing. Additionally, we are employing our mathematical models of brain and neural networks for engineering new neuromorphic hardware.
We are developing new information processing systems taking full advantage of the diverse dynamical behaviors that chaos and complex systems generate. Those systems are applied to the implementation of nonlinear analog circuits, constructing an artificial brain, and other engineering problems.