Combinations of muscle synergies in the construction of a natural motor behavior

By Andrea d'Avella, P. Saltiel, Emilio Bizzi. 2003

1,386 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Social Psychology

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Citations in the corpus

Five basic muscle activation patterns account for muscle activity during human locomotion (2004, background): “The results presented in earlier human locomotion studies (Patla, 1985; Davis & Vaughan, 1993; Olree & Vaughan, 1995), and also the results regarding limb movements in frogs (Bizzi et al. 2000; Kargo & Giszter, 2000; d’Avella et al. 2003), could provide a basis for understanding the relationship bet”
Real-time behaviour synthesis for dynamic hand-manipulation (2014, background): “Low dimensional embedding has been found at the level of kinematics [19], instantaneous muscle activity [20], spatio-temporal muscle activity [21] and feedback control law [22].”
Is my model good enough? Best practices for verification and validation of musculoskeletal models and simulations of movement. (2015, methodology): “In this growing area of research, muscle activity is decomposed using principal component analysis or related approaches to find groups of muscles that are activated together during movement, modulated by a single scaling parameter [140,141].”
Control of Fast-Reaching Movements by Muscle Synergy Combinations (2006, methodology): “This was defined as the maximum of the normalized scalar products between the two time-varying synergies shifted by k1 and k2 samples over all possible relative delays (k1 $ k2) [for details, see d’Avella et al. (2003)].”
Optimal feedback control and the neural basis of volitional motor control (2004, background): “The spinal cord can create complex multi-joint and multi-limb reflexive motor response”
Matrix factorization algorithms for the identification of muscle synergies: evaluation on simulated and experimental data sets. (2006, methodology): “In particular, we assessed whether synergies identified in a set with N synergies were preserved in a set with N+1 synergies (d’Avella et al. 2003).”
Manipulators and Manipulation in high dimensional spaces (2016, background): “Low dimensional embedding has been found at the level of kinematics [88], instantaneous muscle activity[111], spatio-temporal muscle activity [23] and feedback control law[58].”
The neural origin of muscle synergies (2013, background): “Third, it has been shown that the activation of each muscle synergy can accomplish a certain kinematic (d’Avella et al., 2003) or biomechanical (Ting and Macpherson, 2005) goal which may or may not be shared between behaviors.”
Compositionality of optimal control laws (2009, background): “The implied reduction in dimensionality is now well documented [12] [13] [14].”