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In biological systems, observed phenomena at behavioral level could not be attributed to a few genes. Complex, inter- and trans-hierarchical interactions mediate between gene and behavior. In order to disclose emerging mechanisms underlying diverse functions of living systems, synthetic approaches based on top-down modeling should be essential. In our laboratory, we attempt to disclose substrates of higher-order brain functions and life by carrying out integrated modeling study of dynamics in living systems.
(1) Modeling of biological clock system
Integrated modeling is performed concerning oscillatory mechanisms of genetic networks, an ensemble of pacemaker cells, and macroscopic oscillators at behavioral level. In addition, knowledge obtained through modeling is applied to an optimal schedule design of shift work and time-zone flight.
(2) Dynamics of neural network and their functions
Experimental and modeling studies are performed focusing on possible roles of neural network dynamics in development and maintenance of neural circuit as well as higher-order brain functions.
(3) Development of bio-signal processing algorithms and clinical applications
Digital signal processing algorithms for extraction of fetal electrocardiogram from mother’s abdominal electrical signals and the real-time neuronal signal processing system for the brain-machine interface (BMI) are developed.
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