Shared and specific muscle synergies in natural motor behaviors.

By Andrea d'Avella, Emilio Bizzi. Proceedings of the National Academy of Sciences of the United States of America, 2005

732 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Cognitive Neuroscience, Social Psychology

View Paper: https://www.semanticscholar.org/paper/e1064abff785a11ed86bf4912865c15e28035d27

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Citations in the corpus

Common muscle synergies for balance and walking (2013, background): “COMPUTATIONAL NEUROSCIENCE ORIGINAL RESEARCH ARTICLE published: 02 May 2013 doi: 10.3389/fncom.2013.00048 Common muscle synergies for balance and walking”
Motor primitives in vertebrates and invertebrates. (2005, background): “Similar attempts have been made to find muscle synergies during human posture and locomotion [13 ,45 ,46].”
Biological pattern generation: the cellular and computational logic of networks in motion. (2006, background): “The output of the activity captures essential features of the locomotor output. d´Avella and Bizzi, 2005; Poggio and Bizzi, 2004).”
Neuromechanics of muscle synergies for posture and movement. (2007, unknown): “Recently,results frommanyareashavedemonstratedthattheactivityof musclesynergiescanbecorrelatedtofunctionaloutputs relatedtotaskperformance[1,7,18,19].”
A limited set of muscle synergies for force control during a postural task. (2005, background): “The temporal synergy approach employed in the present study was essentially similar to that of d’Avella and others (d’Avella and others 2003; d’Avella and Bizzi 2005).”
Motor patterns in human walking and running. (2006, methodology): “The rationale for application of the NMF was that our data consisted of non-negative values (rectified EMG activity), and the NMF constraint allows only additive, not subtractive combinations (d’Avella and Bizzi, 2005).”
Control of Fast-Reaching Movements by Muscle Synergy Combinations (2006, methodology): “In contrast, synchronous synergies can capture the spatial structure in the patterns (d’Avella and Bizzi, 2005), but any fixed temporal relationship can be recovered only indirectly from the time-series of the combination coefficients associated with each synchronous synergy, and more than one syner”
Probabilistic Movement Primitives (2013, methodology): “While many of these properties are implemented by one or more existing MP architectures [1, 11, 10, 2, 12, 13, 14], no approach exists which exhibits all of these properties in one framework.”
The neural origin of muscle synergies (2013, background): “As shown by d’Avella and Bizzi (2005), each motor behavior results from a combination of both synergies shared between behaviors, and synergies specific to each or a few behaviors.”
Parabolic movement primitives and cortical states: merging optimality with geometric invariance (2009, background): “1993; Nichols 1994; Kargo and Giszter 2000; Mussa-Ivaldi and Bizzi 2000; Mussa-Ivaldi and Solla 2004), at the level of muscle synergies (Tresch et al. 1999; d’Avella et al. 2003; Hart and Giszter 2004; Ivanenko et al. 2004, 2005; d’Avella and Bizzi 2005; d’Avella et al. 2006), at the level of motion”
The Extraction of Neural Information from the Surface EMG for the Control of Upper-Limb Prostheses: Emerging Avenues and Challenges (2014, methodology): “According to the muscle synergy theory [80], [81], the extracted activation Fig.”