Yasmin L. Hashambhoy

Papers

Total Citations

648

H-Index

About

Yasmin L. Hashambhoy is a neuroscientist whose work bridges computational modeling and experimental motor control, with a focus on how the brain learns from errors during reaching movements. Her most influential contribution is the seminal 2005 paper "Neural Correlates of Reach Errors," which has garnered over 648 citations. In this work, Hashambhoy and her colleagues established a critical distinction between two types of reach errors: target errors, caused by unpredictable changes in target location, and execution errors, arising from miscalibrations of internal models (e.g., under prism or force-field perturbations). This framework has become foundational for understanding sensorimotor adaptation and the neural mechanisms underlying error-driven learning. Her research has significantly advanced the field of motor neuroscience, providing a clear taxonomy of error signals that informs both basic science and rehabilitation. Hashambhoy’s work is widely cited in studies of motor learning, cerebellar function, and brain-computer interfaces, underscoring her lasting impact on how researchers conceptualize and investigate the neural basis of movement correction.