Kurt A. Thoroughman

Papers

Total Citations

148

H-Index

About

Kurt A. Thoroughman is a leading researcher in computational motor neuroscience, whose work illuminates how the human brain learns, plans, and generalizes movement. His most influential research, published in the *Journal of Neurophysiology* (2005, 115 citations), demonstrated that the structure of motor training—not just the amount—dramatically reshapes how the nervous system generalizes learned movements. This finding challenged existing models of motor learning by showing that the brain actively reorganizes its internal representations based on the richness of sensory error signals. In a complementary computational study (2007), Thoroughman investigated how viscous loads alter motor planning, testing predictions from minimum torque change and minimum endpoint variance hypotheses to reveal how physical encumbrance reshapes neural control strategies. Beyond his core motor control work, Thoroughman contributed to science communication, co-authoring a study in *Advances in Physiology Education* (2012, 25 citations) that demonstrated training scientists in science centers significantly improves their ability to communicate with the public. His research has profound implications for rehabilitation robotics, neuroprosthetics, and our fundamental understanding of how practice shapes skilled behavior. Through careful behavioral experiments and computational modeling, Thoroughman has advanced our understanding of the adaptive, error-driven mechanisms that underlie human motor learning.