The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Endpoint Stiffness of the Arm Is Directionally Tuned to Instability in the Environment
Open accessAbstract
It has been shown that humans are able to selectively control the endpoint impedance of their arms when moving in an unstable environment. However, directional instability was only examined for the case in which the main contribution was from coactivation of biarticular muscles. The goal of this study was to examine whether, in general, the CNS activates the sets of muscles that contribute to selective control of impedance in particular directions. Subjects performed reaching movements in three differently oriented unstable environments generated by a robotic manipulandum. After subjects had learned to make relatively straight reaching movements in the unstable force field, the endpoint stiffness of the limb was measured at the midpoint of the movements. For each force field, the endpoint stiffness increased in a specific direction, whereas there was little change in stiffness in the orthogonal direction. The increase in stiffness was oriented along the direction of instability in the environment, which caused the major axis of the stiffness ellipse to rotate toward the instability in the environment. This study confirms that the CNS is able to control the endpoint impedance of the limbs and selectively adapt it to the environment. Furthermore, it supports the idea that the CNS incorporates an impedance controller that acts to ensure stability, reduce movement variability, and reduce metabolic cost.
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Citations
Cites
Signal-dependent noise determines motor planning
Harris, C. M., & Wolpert, D. M. (1998) · Nature · doi:10.1038/29528 · Cited by 2,498
The central nervous system stabilizes unstable dynamics by learning optimal impedance
Burdet, E., Osu, R., Franklin, D. W., Milner, T. E., & Kawato, M. (2001) · Nature · doi:10.1038/35106566 · Cited by 1,097
Self-citationLearning of action through adaptive combination of motor primitives
Thoroughman, K. A., & Shadmehr, R. (2000) · Nature · doi:10.1038/35037588 · Cited by 945
Cited by
Principles of sensorimotor learning
Wolpert, D. M., Diedrichsen, J., & Flanagan, J. R. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3112 · Cited by 1,391
The computational and neural basis of voluntary motor control and planning
Scott, S. H. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.09.008 · Cited by 317
Biomechanics and energetics of walking on uneven terrain
Voloshina, A. S., Kuo, A. D., Daley, M. A., & Ferris, D. P. (2013) · Journal of Experimental Biology · doi:10.1242/jeb.081711 · Cited by 177
Can Robots Help the Learning of Skilled Actions?
Reinkensmeyer, D. J., & Patton, J. L. (2009) · Exercise and Sport Sciences Reviews · doi:10.1097/jes.0b013e3181912108 · Cited by 133
Biomechanics and energetics of running on uneven terrain
Voloshina, A. S., & Ferris, D. P. (2015) · Journal of Experimental Biology · doi:10.1242/jeb.106518 · Cited by 119
Metadata
- Authors
- Franklin, D. W., Liaw, G., Milner, T. E., Osu, R., Burdet, E., & Kawato, M.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2007-07-18
- Volume
- 27
- Issue
- 29
- Pages
- 7705-7716
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2053133492
- Cited by
- 294
- References
- 3
- FWCI
- 7.27
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Franklin, D. W., Liaw, G., Milner, T. E., Osu, R., Burdet, E., & Kawato, M. (2007). Endpoint Stiffness of the Arm Is Directionally Tuned to Instability in the Environment. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.0968-07.2007
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