Rin Kuriyama
Papers
1
Total Citations
7
H-Index
1
About
Rin Kuriyama is a computational neuroscientist pioneering large-scale, distributed brain-body simulations. Her primary research areas include embodied neural simulation, spiking neural network modeling, and high-performance computing for neuroscience. Kuriyama’s major contribution is the development of an embodied bidirectional simulation framework that integrates a spiking cortico-basal ganglia-cerebellar-thalamic brain model with a realistic mouse musculoskeletal body. This work, published in 2023, achieved 7 citations and represents a breakthrough in understanding how neural activity generates and modulates behavior in a closed-loop system. Notably, her simulation was distributed across multiple computers, including Japan’s supercomputer Fugaku, demonstrating unprecedented scalability. This approach overcomes the computational limits of single-machine simulations, enabling more complex and biologically faithful models. Kuriyama’s work bridges computational neuroscience and robotics, offering a powerful platform for studying neurological disorders and adaptive behavior. Her achievements highlight the future of integrative, large-scale brain modeling and its potential to transform our understanding of animal and human movement.
Research Focus
Key Achievements
Top Papers
- 1