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Andrea d'Avella

Affiliations: 
2003- Laboratory of Neuromotor Physiology Fondazione Santa Lucia, Roma, Lazio, Italy 
 2015- Biomedical Sciences and Morphological and Functional Images University of Messina, Messina, Sicilia, Italy 
Area:
Neural control of movement
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"Andrea d'Avella"
Mean distance: 14.24 (cluster 17)
 		SNBCP
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Parents

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Emilio Bizzi grad student 1995-2000 MIT
Emilio Bizzi post-doc 2000-2002 MIT
Francesco Lacquaniti research scientist 2003-2014 IRCCS Fondazione Santa Lucia

Children

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Marta Russo grad student 2013-2018 IRCCS Santa Lucia Foundation, Rome, Italy

Collaborators

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Simon A. Overduin collaborator 2000-
Vincent Chi Kwan Cheung collaborator 2001- MIT
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Publications

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Chiovetto E, Salatiello A, d'Avella A, et al. (2022) Toward a unifying framework for the modeling and identification of motor primitives. Frontiers in Computational Neuroscience. 16: 926345
Funato T, Hattori N, Yozu A, et al. (2022) Muscle synergy analysis yields an efficient and physiologically relevant method of assessing stroke. Brain Communications. 4: fcac200
Zhvansky DS, Sylos-Labini F, Dewolf A, et al. (2022) Evaluation of Spatiotemporal Patterns of the Spinal Muscle Coordination Output during Walking in the Exoskeleton. Sensors (Basel, Switzerland). 22
Berger DJ, Borzelli D, d'Avella A. (2022) Task space exploration improves adaptation after incompatible virtual surgeries. Journal of Neurophysiology. 127: 1127-1146
Scano A, Mira RM, d'Avella A. (2022) Mixed matrix factorization: a novel algorithm for the extraction of kinematic-muscular synergies. Journal of Neurophysiology
Gurgone S, Borzelli D, De Pasquale P, et al. (2022) Simultaneous control of natural and extra degrees of freedom by isometric force and electromyographic activity in the muscle-to-force null space. Journal of Neural Engineering
d'Avella A, Ivanenko Y, Lacquaniti F. (2021) Muscle synergies in cerebral palsy and variability: challenges and opportunities. Developmental Medicine and Child Neurology
Tommasino P, Maselli A, Campolo D, et al. (2021) A Hessian-based decomposition characterizes how performance in complex motor skills depends on individual strategy and variability. Plos One. 16: e0253626
Borish CN, Bertucco M, Berger DJ, et al. (2021) Can spatial filtering separate voluntary and involuntary components in children with dyskinetic cerebral palsy? Plos One. 16: e0250001
Torricelli D, De Marchis C, d'Avella A, et al. (2020) Reorganization of Muscle Coordination Underlying Motor Learning in Cycling Tasks. Frontiers in Bioengineering and Biotechnology. 8: 800
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