Papers
7
Total Citations
2,519
H-Index
6
About
John W. Krakauer is a leading figure in motor learning, neurorehabilitation, and computational neuroscience, whose work has fundamentally reshaped how we understand recovery after stroke. His research bridges the gap between basic motor control mechanisms and clinical practice, arguing that neurorehabilitation must be grounded in principles of motor learning rather than simple repetition. Krakauer’s seminal 2006 review, cited over 1,260 times, established the critical link between motor learning and stroke recovery, while his 2012 paper on “Getting Neurorehabilitation Right” (561 citations) challenged the field to move beyond the narrow window of spontaneous biological recovery. He has been a pioneer in robotic neurorehabilitation, using computational models to design therapies that target impairment reduction rather than just task-specific compensation. His 2009 and 2016 papers (424 and 190 citations, respectively) laid the groundwork for “computational neurorehabilitation,” a field that uses models of plasticity to predict individual recovery trajectories. Krakauer’s work has profound implications for designing smarter, more effective rehabilitation protocols, and his 2022 perspective on neurotechnologies continues to push the field toward meaningful, lasting improvements in neurological impairment.
Research Focus
Key Achievements
Top Papers
- 1Motor learning: its relevance to stroke recovery and neurorehabilitation1,263 citations · 2006
- 2Getting Neurorehabilitation Right561 citations · 2012
- 3Robotic neurorehabilitation: a computational motor learning perspective424 citations · 2009
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- 7Losing control5 citations · 2010