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An organizing principle for a class of voluntary movements
Open accessAbstract
This paper presents a mathematical model which predicts both the major qualitative features and, within experimental error, the quantitative details of a class of perturbed and unperturbed large-amplitude, voluntary movements performed at intermediate speed by primates. A feature of the mathematical model is that a concise description of the behavioral organization of the movement has been formulated which is separate and distinct from the description of the dynamics of movement execution. Based on observations of voluntary movements in primates, the organization has been described as though the goal were to make the smoothest movement possible under the circumstances, i.e., to minimize the accelerative transients. This has been formalized by using dynamic optimization theory to determine the movement which minimizes the rate of change of acceleration (jerk) of the limb. Based on observations of muscle mechanics, the concept of a “virtual position” determined by the active states of the muscles is rigorously defined as one of the mechanical consequences of the neural commands to the muscles. This provides insight into the mechanics of perturbed and unperturbed movements and is a useful aid in the separation of the descriptions of movement organization and movement execution.
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Citations
Cited by
The coordination of arm movements: an experimentally confirmed mathematical model
Flash, T., & Hogan, N. (1985) · The Journal of Neuroscience · doi:10.1523/jneurosci.05-07-01688.1985 · Cited by 4,395
Self-citationApprenticeship learning via inverse reinforcement learning
Abbeel, P., & Ng, A. Y. (2004) · Twenty-first international conference on Machine learning - ICML '04 · doi:10.1145/1015330.1015430 · Cited by 2,769
Internal models in the cerebellum
Wolpert, D. M., Miall, R. C., & Kawato, M. (1998) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(98)01221-2 · Cited by 2,469
Signal-dependent noise determines motor planning
Harris, C. M., & Wolpert, D. M. (1998) · Nature · doi:10.1038/29528 · Cited by 2,498
Computational principles of movement neuroscience
Wolpert, D. M., & Ghahramani, Z. (2000) · Nature Neuroscience · doi:10.1038/81497 · Cited by 2,122
Metadata
- Authors
- Hogan, N.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 1984-11-01
- Volume
- 4
- Issue
- 11
- Pages
- 2745-2754
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W1892385946
- Cited by
- 1,330
- References
- 0
- FWCI
- 12.45
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Hogan, N. (1984). An organizing principle for a class of voluntary movements. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.04-11-02745.1984
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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.