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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
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  • ORCID record for Paolo Tommasino
  • For correspondence: p.tommasino@hsantalucia.it a.davella@hsantalucia.it
Antonella Maselli
1Laboratory of Neuromotor Physiology, IRCCS Fondazione Santa Lucia, Rome, Italy
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Domenico Campolo
2Synergy Lab, Robotics Research Centre, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore
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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
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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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  • ORCID record for Andrea d’Avella
  • For correspondence: p.tommasino@hsantalucia.it a.davella@hsantalucia.it
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Article Information

doi 
https://doi.org/10.1101/645317
History 
  • May 21, 2019.

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  • You are currently viewing Version 1 of this article (May 21, 2019 - 06:56).
  • Version 2 (March 16, 2020 - 02:30).
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Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.

Author Information

  1. Paolo Tommasino1,*,
  2. Antonella Maselli1,
  3. Domenico Campolo2,
  4. Francesco Lacquaniti1,3 and
  5. Andrea d’Avella1,4,*
  1. 1Laboratory of Neuromotor Physiology, IRCCS Fondazione Santa Lucia, Rome, Italy
  2. 2Synergy Lab, Robotics Research Centre, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore
  3. 3Department of Systems Medicine and Center of Space Biomedicine, University of Rome Tor Vergata, Rome, Italy
  4. 4Department of Biomedical and Dental Sciences and Morphofunctional Imaging, University of Messina, Messina, Italy
  1. ↵* corresponding authors p.tommasino{at}hsantalucia.it (PT), a.davella{at}hsantalucia.it (AdA)
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Posted May 21, 2019.
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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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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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