The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Optimal feedback control and the neural basis of volitional motor control
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
The variation in isometric tension with sarcomere length in vertebrate muscle fibres
Gordon, A. M., Huxley, A. F., & Julian, F. J. (1966) · The Journal of Physiology · doi:10.1113/jphysiol.1966.sp007909 · Cited by 3,152
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
Signal-dependent noise determines motor planning
Harris, C. M., & Wolpert, D. M. (1998) · Nature · doi:10.1038/29528 · Cited by 2,498
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 · cited 1×
“The description above integrates feedback from the motor periphery into motor cortical function, but visual feedback is also important for volitional motor contro”
BackgroundCoding of modified body schema during tool use by macaque postcentral neurones
lriki, A., Tanaka, M., & Iwamura, Y. (1996) · NeuroReport · doi:10.1097/00001756-199610020-00010 · Cited by 1,274 · cited 1×
“For example, after a monkey has been trained to use a rake to grab food morsels, neurons in the intraparietal sulcus that normally respond to visual stimuli near the hand now also respond to stimuli near the rak”
BackgroundThe 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
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 · cited 1×
“This approach can be viewed within the framework of internal models, neural processes that mimic the properties of the limb or the environmen”
BackgroundComplementary roles of basal ganglia and cerebellum in learning and motor control
Doya, K. (2000) · Current Opinion in Neurobiology · doi:10.1016/s0959-4388(00)00153-7 · Cited by 964
An unfolded map of the cerebellar dentate nucleus and its projections to the cerebral cortex
Dum, R. P., & Strick, P. L. (2003) · Journal of Neurophysiology · doi:10.1152/jn.00626.2002 · Cited by 684
Cited by
Coding and use of tactile signals from the fingertips in object manipulation tasks
Johansson, R. S., & Flanagan, J. R. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2621 · Cited by 2,063
Brain–machine interfaces: past, present and future
Lebedev, M. A., & Nicolelis, M. A. L. (2006) · Trends in Neurosciences · doi:10.1016/j.tins.2006.07.004 · Cited by 1,875
Optimality principles in sensorimotor control
Todorov, E. (2004) · Nature Neuroscience · doi:10.1038/nn1309 · Cited by 1,746
A deep learning framework for neuroscience
Richards, B. A., Lillicrap, T. P., Beaudoin, P., Bengio, Y., Bogacz, R., Christensen, A., Clopath, C., Costa, R. P., de Berker, A., Ganguli, S., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0520-2 · Cited by 1,027
Predictions not commands: Active inference in the motor system
Adams, R. A., Shipp, S., & Friston, K. J. (2013) · Brain Structure and Function · doi:10.1007/s00429-012-0475-5 · Cited by 765
Metadata
- Authors
- Scott, S. H.
- Venue
- Nature Reviews Neuroscience
- Published
- 2004-07
- Volume
- 5
- Issue
- 7
- Pages
- 532-545
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- OpenAlex
- W1991512494
- Cited by
- 1,068
- References
- 12
- FWCI
- 0.95
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Optimal feedback control and the neural basis of volitional motor control. https://app.cochat.ai/papers/10.1038/nrn1427
- The paper
- Scott, S. H. (2004). Optimal feedback control and the neural basis of volitional motor control. Nature Reviews Neuroscience. https://doi.org/10.1038/nrn1427
Data sources
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.