Taiki Yamada
Papers
2
Total Citations
10
H-Index
2
About
Taiki Yamada is a computational neuroscientist and robotics researcher whose work sits at the intersection of large-scale brain simulation and autonomous systems. His primary research areas include embodied brain-body simulation, neuromorphic computing, and robotic audition. Yamada’s most notable contribution is leading the development of an embodied bidirectional simulation that integrates a spiking cortico-basal ganglia-cerebellar-thalamic brain model with a realistic mouse musculoskeletal body, distributed across multiple computers—including Japan’s supercomputer Fugaku. This pioneering work, cited 7 times, enables unprecedented study of how neural activity drives behavior and adaptation in a closed-loop system. In parallel, Yamada advances drone audition, demonstrating outdoor sound source localization using microphone arrays—a critical capability for search-and-rescue operations. His work on drone groups, cited 3 times, addresses real-world challenges in noisy environments. By bridging high-fidelity neural modeling with practical robotics, Yamada is shaping the future of neurorobotics and embodied AI, offering powerful tools for understanding biological intelligence and building more responsive autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 2