The DOI matches its Crossref record; 376 of the 376 references it cites were found in a registry or an index.
The origin and use of positional frames of reference in motor control
Abstract
A hypothesis about sensorimotor integration (the λ model) is described and applied to movement control and kinesthesia. The central idea is that the nervous system organizes positional frames of reference for the sensorimotor apparatus and produces active movements by shifting the frames in terms of spatial coordinates. Kinematic and electromyographic patterns are not programmed, but emerge from the dynamic interaction among the system s components, including external forces within the designated frame of reference. Motoneuronal threshold properties and proprioceptive inputs to motoneurons may be cardinal components of the physiological mechanism that produces positional frames of reference. The hypothesis that intentional movements are produced by shifting the frame of reference is extended to multi-muscle and multi-degrees-of-freedom systems with a solution of the redundancy problem that allows the control of a joint alone or in combination with other joints to produce any desired limb configuration and movement trajectory. The model also implies that for each motor behavior, the nervous system uses a strategy that minimizes the number of changeable control variables and keeps the parameters of these changes invariant. Examples are provided of simulated kinematic and electromyographic signals from single- and multi-joint arm movements produced by suggested patterns of control variables. Empirical support is provided and additional tests of the model are suggested. The model is contrasted with others based on the ideas of programming of motoneuronal activity, muscle forces, stiffness, or movement kinematics.
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Cites
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Cited by
Optimality principles in sensorimotor control
Todorov, E. (2004) · Nature Neuroscience · doi:10.1038/nn1309 · Cited by 1,746
The emulation theory of representation: Motor control, imagery, and perception
Grush, R. (2004) · Behavioral and Brain Sciences · doi:10.1017/s0140525x04000093 · Cited by 1,387
The Computational Anatomy of Psychosis
Adams, R. A., Stephan, K. E., Brown, H. R., Frith, C. D., & Friston, K. J. (2013) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2013.00047 · Cited by 850
“…s̃ ∂a × ξ(1)v (4) The reduction of action to classical reflexes follows because the only way that action can minimize free energy is to change sensory (proprioceptive) prediction errors by changing sensory signals; cf., the equilibrium point formulation of motor control (Feldman and Levin, 1995).”
BackgroundAction and behavior: a free-energy formulation
Friston, K. J., Daunizeau, J., Kilner, J., & Kiebel, S. J. (2010) · Biological Cybernetics · doi:10.1007/s00422-010-0364-z · Cited by 866
“In Friston (2010), we show how the same behavior can be elicited in an unsupervised setting, using prior expectations that enforce exploration of state–space until states with high utility are encountered.”
BackgroundSpeed/accuracy trade-offs in target-directed movements
Plamondon, R., & Alimi, A. M. (1997) · Behavioral and Brain Sciences · doi:10.1017/s0140525x97001441 · Cited by 592
Metadata
- Authors
- Feldman, A. G., & Levin, M. F.
- Venue
- Behavioral and Brain Sciences
- Publisher
- Cambridge University Press (CUP)
- Published
- 1995-12
- Volume
- 18
- Issue
- 4
- Pages
- 723-744
- ISSN
- 0140-525X (ISSN-L)
- 1469-1825
- OpenAlex
- W2128065872
- Cited by
- 585
- References
- 376
- FWCI
- 22.00
- Type
- journal article
- Language
- en
- Open access
- closed
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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.