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
Google:
"Andrea d'Avella"
Mean distance: 14.24 (cluster 17)
 
SNBCP

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

Collaborators

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Simon A. Overduin collaborator 2000-
Vincent Chi Kwan Cheung collaborator 2001- MIT
BETA: Related publications

Publications

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Russo M, Scano A, Brambilla C, et al. (2024) SynergyAnalyzer: A Matlab toolbox implementing mixed-matrix factorization to identify kinematic-muscular synergies. Computer Methods and Programs in Biomedicine. 251: 108217
Borzelli D, Vieira TMM, Botter A, et al. (2024) Synaptic inputs to motor neurons underlying muscle co-activation for functionally different tasks have different spectral characteristics. Journal of Neurophysiology
Berger DJ, Lacquaniti F, d'Avella A. (2023) A novel force-constrained non-negative matrix factorization algorithm reveals the effectiveness of muscle synergies in the task space. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2023: 1-4
Berger DJ, d'Avella A. (2023) Exposure to an incompatible virtual surgery impacts the null space components of the muscle patterns after re-adaptation but not the task performance. Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual International Conference. 2023: 1-4
Berger DJ, d'Avella A. (2023) Persistent changes in motor adaptation strategies after perturbations that require exploration of novel muscle activation patterns. Journal of Neurophysiology. 130: 1194-1199
Brambilla C, Russo M, d'Avella A, et al. (2023) Phasic and tonic muscle synergies are different in number, structure and sparseness. Human Movement Science. 92: 103148
d'Avella A, Russo M, Berger DJ, et al. (2023) Neuromuscular invariants in action execution and perception: Comment on "Motor invariants in action execution and perception" by Torricelli et al. Physics of Life Reviews. 45: 63-65
Borzelli D, Gurgone S, De Pasquale P, et al. (2023) Use of Surface Electromyography to Estimate End-Point Force in Redundant Systems: Comparison between Linear Approaches. Bioengineering (Basel, Switzerland). 10
Brambilla C, Atzori M, Müller H, et al. (2023) Spatial and temporal muscle synergies provide a dual characterization of low-dimensional and intermittent control of upper-limb movements. Neuroscience
Borzelli D, Pastorelli S, d'Avella A, et al. (2023) Virtual Stiffness: A Novel Biomechanical Approach to Estimate Limb Stiffness of a Multi-Muscle and Multi-Joint System. Sensors (Basel, Switzerland). 23
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