Yusuke Kuniyoshi
Papers
1
Total Citations
7
H-Index
1
About
Yusuke Kuniyoshi is a leading researcher in computational neuroscience and embodied intelligence, whose work bridges the gap between large-scale brain simulation and realistic physical models of the body. His primary research areas include spiking neural network modeling, embodied cognition, and high-performance distributed simulation. Kuniyoshi’s most notable contribution is the development of an embodied bidirectional simulation that integrates a spiking cortico-basal ganglia-cerebellar-thalamic brain model with a realistic mouse musculoskeletal body. This groundbreaking work, published in 2023, demonstrates how complex animal behavior and behavioral change can be studied through distributed computing across multiple systems, including Japan’s supercomputer Fugaku. Though still early in its citation trajectory, the paper has already garnered 7 citations, reflecting its immediate relevance to the field. By enabling such large-scale, interdisciplinary simulations, Kuniyoshi is paving the way for deeper insights into neural mechanisms underlying movement and adaptation. His work is particularly influential for researchers exploring the intersection of neuroscience, robotics, and high-performance computing, offering a powerful platform for future studies on brain-body-environment interactions.
Research Focus
Key Achievements
Top Papers
- 1