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Journal of Neurophysiology|March 31, 2017
Moving slowly is hard for humans: limitations of dynamic primitivesSe-Woong Park, Hamal Marino, Steven K Charles, et al.Frontiers in Computational Neuroscience|July 27, 2013
Transitions between discrete and rhythmic primitives in a unimanual taskDagmar Sternad, Hamal Marino, Steven K Charles, et al.IEEE Robotics and Automation Letters|August 22, 2022
Dynamic Primitives Limit Human Force Regulation during MotionA Michael West, James Hermus, Meghan E Huber, et al.Current Opinion in Behavioral Sciences|July 24, 2018
It's Not (Only) the Mean that Matters: Variability, Noise and Exploration in Skill LearningDagmar SternadExperimental Brain Research|August 13, 2008
Complexity of human postural control in young and older adults during prolonged standingMarcos Duarte, Dagmar SternadBiological Cybernetics|July 2, 2003
A randomization method for the calculation of covariation in multiple nonlinear relations: illustrated with the example of goal-directed movementsHermann Müller, Dagmar SternadJournal of Neurophysiology|November 4, 2020
Back to reality: differences in learning strategy in a simplified virtual and a real throwing taskZhaoran Zhang, Dagmar SternadAdvances in Experimental Medicine and Biology|February 21, 2009
Motor learning: changes in the structure of variability in a redundant taskHermann Müller, Dagmar SternadAdvanced Robotics : the International Journal of the Robotics Society of Japan|October 26, 2020
Human control of complex objects: Towards more dexterous robotsSalah Bazzi, Dagmar SternadIEEE Robotics and Automation Letters|March 29, 2020
Robustness in Human Manipulation of Dynamically Complex Objects through Control Contraction MetricsSalah Bazzi, Dagmar SternadPageof 19