Publications
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Author Keyword Title Type [ Year
] Filters: Author is A. d'Avella [Clear All Filters]
. A computational analysis of motor synergies by dynamic response decomposition. Front Comput Neurosci. 2014 ;7:191.
. Dimensionality of joint torques and muscle patterns for reaching. Front Comput Neurosci. 2014 ;8.
. Effective force control by muscle synergies. Front Comput Neurosci. 2014 .
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(1.2 MB). How long did it last? You would better ask a human. Front Neurorobot [Internet]. 2014 ;8:2. Available from: http://www.frontiersin.org/Neurorobotics/10.3389/fnbot.2014.00002/abstract
. Control of reaching movements by muscle synergy combinations. Frontiers in Computational Neuroscience. 2013 ;7:42.
. Differences in adaptation rates after virtual surgeries provide direct evidence for modularity. Journal of Neuroscience [Internet]. 2013 ;33:12384-94. Available from: http://www.davella.eu/amarsi-slf/Berger_et_al_J_Neurosci_2013_postprint.pdf
. Effort minimization and synergistic muscle recruitment for three-dimensional force generation. Front Comput Neurosci [Internet]. 2013 ;7:186. Available from: http://www.frontiersin.org/Journal/10.3389/fncom.2013.00186/full
. Evolutionary and developmental modules. Front Comput Neurosci [Internet]. 2013 ;7:61. Available from: http://www.frontiersin.org/Computational_Neuroscience/10.3389/fncom.2013.00061/abstract
. Learned Muscle Synergies as Prior in Dynamical Systems for Controlling Bio-mechanical and Robotic Systems. In: Abstracts of Neural Control of Movement Conference (NCM 2013). Abstracts of Neural Control of Movement Conference (NCM 2013). ; 2013. Available from: http://eprints.pascal-network.org/archive/00009898/
. Learned parametrized dynamic movement primitives with shared synergies for controlling robotic and musculoskeletal systems. Frontiers in Computational Neuroscience (Special Issue on Modularity in motor control: from muscle synergies to cognitive action representation) [Internet]. 2013 ;7:138. Available from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3797962/
. A novel method for measuring gaze orientation in space in unrestrained head conditions. Journal of Vision [Internet]. 2013 ;13. Available from: http://www.davella.eu/amarsi-slf/Cesqui_et_al_J_Vis_2013_postprint.pdf
. Robustness of muscle synergies during visuomotor adaptation. Frontiers in Computational Neuroscience [Internet]. 2013 ;7:120. Available from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3759787/
. Spatiotemporal characteristics of muscle patterns for ball catching. Frontiers in Computational Neuroscience [Internet]. 2013 ;7:107. Available from: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3735981/
. Catching a Ball at the Right Time and Place: Individual Factors Matter. PLoS One. 2012 ;7:e31770.
. Generation of synergies for reaching based on interpolation properties of their dynamic responses. In: From Animals to Animats 12: Proceedings 12th International Conference on Simulation of adaptive behavior. From Animals to Animats 12: Proceedings 12th International Conference on Simulation of adaptive behavior. Odense, Denmark: Springer Berlin Heidelberg; 2012. Available from: http://arxiv.org/abs/1205.3668v1
Locomotor primitives in newborn babies and their development. Science [Internet]. 2011 ;334:997-9. Available from: http://xa.yimg.com/kq/groups/20024820/1586079137/name/Locomotor%2BPrimitives%2Bin%2BNewborn.pdf
. A new ball launching system with controlled flight parameters for catching experiments. J Neurosci Methods [Internet]. 2011 ;196:264-75. Available from: http://www.davella.eu/amarsi-slf/d'Avella_et_al_J_Neurosci_Methods_2011_postprint.pdf
. Superposition and modulation of muscle synergies for reaching in response to a change in target location. J Neurophysiol [Internet]. 2011 ;106:2796-812. Available from: http://jn.physiology.org/content/106/6/2796.long
