Shin Terada
Papers
1
Total Citations
3
H-Index
1
About
Shin Terada is a researcher whose work bridges robotics and neuroscience, with a focus on understanding the neural mechanisms of motor learning and control. His key research areas include the development of novel experimental apparatuses for studying motor behavior in animal models, particularly rodents. Terada's major contribution is the design and validation of a small-scale robotic manipulandum, a device that applies precise force perturbations to study how the brain adapts and learns movements. This tool, detailed in his most-cited 2021 paper, allows researchers to translate computational models of motor learning—traditionally tested in humans—into rodent studies, opening new avenues for investigating the neural underpinnings of motor control at a cellular and circuit level. While his citation count is currently modest (3 citations), the work represents a foundational step in creating standardized, high-precision behavioral platforms for neuroscience. Terada's achievement lies in engineering a solution that directly addresses a critical gap in motor learning research, enabling more direct comparisons between human psychophysics and animal neurophysiology.
Research Focus
Key Achievements
Top Papers
- 1A small-scale robotic manipulandum for motor control study with rodents3 citations · 2021