Tomoya Hirayama
Papers
1
Total Citations
7
H-Index
1
About
Tomoya Hirayama is a leading computational neuroscientist whose work bridges the gap between large-scale brain simulation and realistic biomechanics. His primary research areas include embodied neural simulation, spiking neural networks, and distributed high-performance computing for neuroscience. Hirayama’s most notable contribution is the development of an embodied bidirectional simulation integrating a spiking cortico-basal ganglia-cerebellar-thalamic brain model with a mouse musculoskeletal body, distributed across multiple computers—including Japan’s supercomputer Fugaku. This groundbreaking 2023 work, already cited 7 times, demonstrates how whole-brain models can interact with realistic virtual bodies to study animal behavior and learning. By tackling the immense computational demands of such simulations, Hirayama has pioneered methods for distributing complex neural-body systems across networked machines, enabling experiments impossible on single systems. His achievements highlight the future of closed-loop neuroscience, where digital brains and bodies co-evolve in silico, offering unprecedented insights into neural control of movement and behavioral adaptation.
Research Focus
Key Achievements
Top Papers
- 1