Tadashi Yamazaki
RIKEN Center for Brain Science, University of Electro-Communications
Papers
3
Total Citations
112
H-Index
3
About
Tadashi Yamazaki is a leading computational neuroscientist whose work bridges high-performance computing and large-scale brain simulation, with a particular focus on the cerebellum. His research centers on building spiking neural network models of the cerebellum and its connected brain regions, aiming to understand the neural basis of real-time motor learning, control, and adaptive behavior. Yamazaki’s most influential contribution is the development of a real-time, GPU-accelerated spiking network model of the cerebellum (2013, 83 citations), which demonstrated that a biologically detailed simulation of 1 second of neural activity could be completed within 1 second of real-world time—a critical milestone for practical applications in robotics and neuroprosthetics. He extended this work to energy-efficient supercomputers (2017, 22 citations), achieving cat-scale cerebellar simulations on PEZY-SC processors. More recently, Yamazaki has pioneered embodied, distributed simulations that integrate a spiking cortico-basal ganglia-cerebellar-thalamic brain model with a realistic mouse musculoskeletal body, running across multiple computers including Japan’s Fugaku supercomputer (2023, 7 citations). This work represents a major step toward understanding how neural circuits generate and adapt behavior in closed-loop, physically embodied systems.
Research Focus
Key Achievements
Top Papers
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