Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

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
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • 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
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Domenico Campolo
2Synergy Lab, Robotics Research Centre, School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
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
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
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
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Andrea d’Avella
  • For correspondence: p.tommasino@hsantalucia.it a.davella@hsantalucia.it
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Article usage

Article usage: May 2019 to February 2023

AbstractFullPdf
May 20194405111
Jun 201965552
Jul 201954341
Aug 2019281017
Oct 2019291123
Nov 2019221210
Dec 2019221623
Jan 2020141115
Feb 2020372231
Mar 2020661130
May 202073838
Jun 202046722
Jul 202015337
Aug 202027413
Sep 202035316
Oct 202024622
Nov 2020161231
Dec 202027434
Jan 202120923
Feb 202117522
Mar 202137326
Apr 20212432044
May 202161251
Jun 202131524
Jul 202131628
Aug 202131918
Sep 202149742
Oct 202130827
Nov 202146419
Dec 20212787
Jan 202226616
Feb 20222335
Mar 202220212
Apr 20221717
May 202217529
Jun 20221308
Jul 20222045
Aug 20221204
Sep 202215125
Oct 202222234
Nov 202220011
Dec 2022514
Jan 2023102
Feb 2023111
Back to top
PreviousNext
Posted May 21, 2019.
Download PDF
Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
A Hessian-based decomposition to characterize how performance in complex motor skills depends on individual strategy and variability
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
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
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
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

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (4113)
  • Biochemistry (8816)
  • Bioengineering (6519)
  • Bioinformatics (23463)
  • Biophysics (11791)
  • Cancer Biology (9209)
  • Cell Biology (13325)
  • Clinical Trials (138)
  • Developmental Biology (7439)
  • Ecology (11411)
  • Epidemiology (2066)
  • Evolutionary Biology (15152)
  • Genetics (10439)
  • Genomics (14044)
  • Immunology (9171)
  • Microbiology (22158)
  • Molecular Biology (8813)
  • Neuroscience (47573)
  • Paleontology (350)
  • Pathology (1429)
  • Pharmacology and Toxicology (2492)
  • Physiology (3730)
  • Plant Biology (8082)
  • Scientific Communication and Education (1437)
  • Synthetic Biology (2221)
  • Systems Biology (6039)
  • Zoology (1253)