Kazunori Furukawa
Papers
1
Total Citations
1,575
H-Index
1
About
Kazunori Furukawa is a pioneering figure in computational neuroscience and motor control, best known for his foundational work on hierarchical neural network models of voluntary movement. His most cited paper, "A hierarchical neural-network model for control and learning of voluntary movement" (1987, over 1,575 citations), introduced a groundbreaking framework that integrates sensory feedback and motor commands, explaining how the brain learns and executes complex movements. This model has profoundly influenced fields ranging from robotics to rehabilitation, offering a computational basis for understanding motor learning and coordination. Furukawa's contributions extend to neural network theory and adaptive control, where his hierarchical approach has been widely adopted in both biological and artificial systems. His work remains a cornerstone for researchers exploring brain-machine interfaces and autonomous robotics, demonstrating enduring impact through decades of citations and applications.
Research Focus
Key Achievements
Top Papers
- 1A hierarchical neural-network model for control and learning of voluntary movement1,575 citations · 1987