Dan Nemet

Boston Children's Hospital, University of California, Irvine

Papers

Total Citations

121

H-Index

About

Dan Nemet is a leading researcher in the field of computational motor control and development, with a focus on understanding how children learn and adapt their movements. His work bridges the gap between motor neuroscience and developmental psychology, exploring the mechanisms underlying motor performance and adaptation across the lifespan. Nemet’s major contributions include demonstrating that children’s motor performance is limited by inherently higher levels of neuromotor noise, a finding that has shaped our understanding of developmental motor variability (71 citations). He also investigated how muscle fatigue disrupts internal model formation during reaching tasks, revealing critical insights into the interplay between physical state and motor learning (47 citations). Notably, his early work on computational motor adaptation in children, showing that even young children can adapt to novel dynamic environments, has been influential in highlighting the robustness of motor learning processes from a young age. Nemet’s research has significant implications for rehabilitation, sports science, and education, providing a foundation for designing interventions that enhance motor skill acquisition in both typical and atypical populations.