J
John W. Krakauer
Researcher at Johns Hopkins University
Publications - 190
Citations - 25005
John W. Krakauer is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Motor learning & Stroke. The author has an hindex of 66, co-authored 169 publications receiving 21008 citations. Previous affiliations of John W. Krakauer include Columbia University Medical Center & Johns Hopkins University School of Medicine.
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Journal ArticleDOI
The relationship between habits and motor skills in humans
TL;DR: The authors suggest that habits are better understood at the level of intermediate computations and, at this level, habits can be considered to be equivalent to the phenomenon of automaticity in skill learning - improving speed of performance at the cost of flexibility.
Journal ArticleDOI
Comparing a Novel Neuroanimation Experience to Conventional Therapy for High-Dose Intensive Upper-Limb Training in Subacute Stroke: The SMARTS2 Randomized Trial
John W. Krakauer,Tomoko Kitago,Tomoko Kitago,Jeff Goldsmith,Omar M. Ahmad,Promit Roy,Joel Stein,Lauri Bishop,Kelly Casey,Belen Valladares,Michelle D. Harran,Juan C. Cortes,Juan C. Cortes,Alexander D. Forrence,Jing Xu,Sandra Deluzio,Jeremia P. O. Held,Anne Schwarz,Levke Steiner,Mario Widmer,Kelly Jordan,Daniel Ludwig,Meghan Moore,Marlena Barbera,Isha Vora,Rachel C. Stockley,Pablo Celnik,Steven R. Zeiler,Meret Branscheidt,Gert Kwakkel,Andreas R. Luft +30 more
TL;DR: In this paper, the authors show that greater reductions in poststroke motor impairment can be achieved with significantly higher doses and intensities of therapy focused on movement, rather than motor control, in animals.
Posted ContentDOI
The Cerebellum Does More Than Sensory-Prediction-Error-Based Learning In Sensorimotor Adaptation Tasks
TL;DR: It is suggested that a consequence of cerebellar dysfunction is not only impaired sensory-prediction-error-based learning, but also a difficulty in developing and/or maintaining an aiming solution in response to a visuomotor perturbation, suggesting a new role for the cerebellum in sensorimotor adaptation tasks.
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The explicit/implicit distinction in studies of visuomotor learning: Conceptual and methodological pitfalls.
TL;DR: Variation in measurement methodology may inadvertently favor one component of the measured quantity over another, leading to different results even though the measurement quantity has not changed.
Journal ArticleDOI
Modeling motor learning using heteroskedastic functional principal components analysis.
Daniel Backenroth,Jeff Goldsmith,Michelle D. Harran,Juan C. Cortes,John W. Krakauer,Tomoko Kitago +5 more
TL;DR: A novel method for estimating population-level and subject-specific effects of covariates on the variability of functional data is proposed, motivated by a novel dataset from an experiment assessing upper extremity motor control, and quantifies the reduction in movement variability associated with skill learning.