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About

Stephan P. Swinnen is a leading figure in motor control, learning, and neurorehabilitation, with a career dedicated to unraveling how the brain coordinates complex movements and recovers from injury. His research integrates behavioral experiments, neuroimaging, and computational modeling to understand sensorimotor integration and plasticity. Swinnen’s most impactful contribution is his pioneering work in computational neurorehabilitation, where he argues for modeling the neural mechanisms underlying recovery to predict patient outcomes—a framework that has garnered 190 citations and is reshaping rehabilitation science. He has also made significant strides in understanding somatosensory processing, revealing distinct frontoparietal networks involved in discriminating familiar versus unfamiliar shapes and lengths, both in healthy individuals and subcortical stroke patients. His studies on passive discrimination tasks (with 61 and 33 citations, respectively) highlight how brain damage alters sensory perception, informing targeted therapies. Additionally, his early work on the principles of rapid multijoint movement control (10 citations) laid groundwork for understanding motor coordination. With a career spanning decades, Swinnen’s interdisciplinary approach—bridging neuroscience, engineering, and clinical practice—positions him as a transformative thinker whose insights guide both fundamental science and patient rehabilitation.