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A Hessian-based decomposition to characterize how performance in complex motor skills depends on individual strategy and variability
View ORCID ProfilePaolo Tommasino, Antonella Maselli, Domenico Campolo, Francesco Lacquaniti, View ORCID ProfileAndrea d’Avella
doi: https://doi.org/10.1101/645317
Paolo Tommasino
1Laboratory of Neuromotor Physiology, IRCCS Fondazione Santa Lucia, Rome, Italy
Antonella Maselli
1Laboratory of Neuromotor Physiology, IRCCS Fondazione Santa Lucia, Rome, Italy
Domenico Campolo
2Synergy Lab, Robotics Research Centre, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore
Francesco Lacquaniti
1Laboratory of Neuromotor Physiology, IRCCS Fondazione Santa Lucia, Rome, Italy
3Department of Systems Medicine and Center of Space Biomedicine, University of Rome Tor Vergata, Rome, Italy
Andrea d’Avella
1Laboratory of Neuromotor Physiology, IRCCS Fondazione Santa Lucia, Rome, Italy
4Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy

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Posted May 21, 2019.
A Hessian-based decomposition to characterize how performance in complex motor skills depends on individual strategy and variability
Paolo Tommasino, Antonella Maselli, Domenico Campolo, Francesco Lacquaniti, Andrea d’Avella
bioRxiv 645317; doi: https://doi.org/10.1101/645317
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