The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Role of the cerebellum in reaching movements in humans. I. Distributed inverse dynamics control
Open accessAbstract
This study focuses on the role of the motor cortex, the spinal cord and the cerebellum in the dynamics stage of the control of arm movement. Currently, two classes of models have been proposed for the neural control of movements, namely the virtual trajectory control hypothesis and the acquisition of internal models of the motor apparatus hypothesis. In the present study, we expand the virtual trajectory model to whole arm reaching movements. This expanded model accurately reproduced slow movements, but faster reaching movements deviated significantly from the planned trajectories, indicating that for fast movements, this model was not sufficient. These results led us to propose a new distributed functional model consistent with behavioural, anatomical and neurophysiological data, which takes into account arm muscles, spinal cord, motor cortex and cerebellum and is consistent with the view that the central nervous system acquires a distributed inverse dynamics model of the arm. Previous studies indicated that the cerebellum compensates for the interaction forces that arise during reaching movements. We show here how the cerebellum may increase the accuracy of reaching movements by compensating for the interaction torques by learning a portion of an inverse dynamics model that refines a basic inverse model in the motor cortex and spinal cord.
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Cites
Marr, D. (1969) · The Journal of Physiology · doi:10.1113/jphysiol.1969.sp008820 · Cited by 3,253
A theory of cerebellar function
Albus, J. S. (1971) · Mathematical Biosciences · doi:10.1016/0025-5564(71)90051-4 · Cited by 2,539
Is the cerebellum a Smith predictor?
Miall, R. C., Weir, D. J., Wolpert, D. M., & Stein, J. F. (1993) · Journal of Motor Behavior · doi:10.1080/00222895.1993.9942050 · Cited by 1,071
Inverse-dynamics model eye movement control by Purkinje cells in the cerebellum
Shidara, M., Kawano, K., Gomi, H., & Kawato, M. (1993) · Nature · doi:10.1038/365050a0 · Cited by 393
Self-citation
Cited by
Forward modeling allows feedback control for fast reaching movements
Desmurget, M., & Grafton, S. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01537-0 · Cited by 1,300
Learning to predict the future: the cerebellum adapts feedforward movement control
Bastian, A. J. (2006) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2006.08.016 · Cited by 678
Dynamic Movement Primitives -A Framework for Motor Control in Humans and Humanoid Robotics
Schaal, S. (2006) · Adaptive Motion of Animals and Machines · doi:10.1007/4-431-31381-8_23 · Cited by 599
A critical evaluation of the force control hypothesis in motor control
Ostry, D. J., & Feldman, A. G. (2003) · Experimental Brain Research · doi:10.1007/s00221-003-1624-0 · Cited by 255
Force field effects on cerebellar Purkinje cell discharge with implications for internal models
Pasalar, S., Roitman, A. V., Durfee, W. K., & Ebner, T. J. (2006) · Nature Neuroscience · doi:10.1038/nn1783 · Cited by 182
Metadata
- Authors
- Schweighofer, N., Arbib, M. A., & Kawato, M.
- Venue
- European Journal of Neuroscience
- Publisher
- Wiley
- Published
- 1998-01
- Volume
- 10
- Issue
- 1
- Pages
- 86-94
- ISSN
- 0953-816X (ISSN-L)
- 1460-9568
- OpenAlex
- W2105848810
- Cited by
- 233
- References
- 4
- FWCI
- 5.48
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Schweighofer, N., Arbib, M. A., & Kawato, M. (1998). Role of the cerebellum in reaching movements in humans. I. Distributed inverse dynamics control. European Journal of Neuroscience. https://doi.org/10.1046/j.1460-9568.1998.00006.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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