The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
The case for and against muscle synergies
Open accessAbstract
Summary A long standing goal in motor control is to determine the fundamental output controlled by the CNS: does the CNS control the activation of individual motor units, individual muscles, groups of muscles, kinematic or dynamic features of movement, or does it simply care about accomplishing a task? Of course, the output controlled by the CNS might not be exclusive but instead multiple outputs might be controlled in parallel or hierarchically. In this review we examine one particular hypothesized level of control: that the CNS produces movement through the flexible combination of groups of muscles, or muscle synergies. Several recent studies have examined this hypothesis, providing evidence both in support and in opposition to it. We discuss these results and the current state of the muscle synergy hypothesis.
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Cites
Sparse coding with an overcomplete basis set: A strategy employed by V1?
Olshausen, B. A., & Field, D. J. (1997) · Vision Research · doi:10.1016/s0042-6989(97)00169-7 · Cited by 3,642
Optimal feedback control as a theory of motor coordination
Todorov, E., & Jordan, M. I. (2002) · Nature Neuroscience · doi:10.1038/nn963 · Cited by 3,081
Natural Image Statistics and Neural Representation
Simoncelli, E. P., & Olshausen, B. A. (2001) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.24.1.1193 · Cited by 2,460
The uncontrolled manifold concept: identifying control variables for a functional task
Scholz, J. P., & Schöner, G. (1999) · Experimental Brain Research · doi:10.1007/s002210050738 · Cited by 1,465
Combinations of muscle synergies in the construction of a natural motor behavior
d'Avella, A., Saltiel, P., & Bizzi, E. (2003) · Nature Neuroscience · doi:10.1038/nn1010 · Cited by 1,344
Flexion‐reflex of the limb, crossed extension‐reflex, and reflex stepping and standing
Sherrington, C. S. (1910) · The Journal of Physiology · doi:10.1113/jphysiol.1910.sp001362 · Cited by 1,319
Self-Organization, Embodiment, and Biologically Inspired Robotics
Pfeifer, R., Lungarella, M., & Iida, F. (2007) · Science · doi:10.1126/science.1145803 · Cited by 1,227
Learning Overcomplete Representations
Lewicki, M. S., & Sejnowski, T. J. (2000) · Neural Computation · doi:10.1162/089976600300015826 · Cited by 1,129
Neurobiological Bases of Rhythmic Motor Acts in Vertebrates
Grillner, S. (1985) · Science · doi:10.1126/science.3975635 · Cited by 1,080
Interneuronal relay in spinal pathways from proprioceptors
Jankowska, E. (1992) · Progress in Neurobiology · doi:10.1016/0301-0082(92)90024-9 · Cited by 930
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Wiltschko, A. B., Johnson, M. J., Iurilli, G., Peterson, R. E., Katon, J. M., Pashkovski, S. L., Abraira, V. E., Adams, R. P., & Datta, S. R. (2015) · Neuron · doi:10.1016/j.neuron.2015.11.031 · Cited by 760
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Ting, L. H., Chiel, H. J., Trumbower, R. D., Allen, J. L., McKay, J. L., Hackney, M. E., & Kesar, T. M. (2015) · Neuron · doi:10.1016/j.neuron.2015.02.042 · Cited by 411
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Metadata
- Authors
- Tresch, M. C., & Jarc, A.
- Venue
- Current Opinion in Neurobiology
- Publisher
- Elsevier BV
- Published
- 2009-12
- Volume
- 19
- Issue
- 6
- Pages
- 601-607
- ISSN
- 0959-4388 (ISSN-L)
- OpenAlex
- W2052210110
- Cited by
- 564
- References
- 68
- FWCI
- 1.14
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
