Cited by 241Motor Control and AdaptationHuman Motion and AnimationMuscle activation and electromyography studies

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

Smoothness Maximization Along a Predefined Path Accurately Predicts the Speed Profiles of Complex Arm Movements

Todorov, Emanuel, Jordan, Michael I.·1998·Journal of Neurophysiology

Abstract

Todorov, Emanuel and Michael I. Jordan. Smoothness maximization along a predefined path accurately predicts the speed profiles of complex arm movements. J. Neurophysiol. 80: 696–714, 1998. The speed profiles of arm movements display a number of regularities, including bell-shaped speed profiles in straight reaching movements and an inverse relationship between speed and curvature in extemporaneous drawing movements (described as a 2/3 power law). Here we propose a new model that simultaneously accounts for both regularities by replacing the 2/3 power law with a smoothness constraint. For a given path of the hand in space, our model assumes that the speed profile will be the one that minimizes the third derivative of position (or “jerk”). Analysis of the mathematical relationship between this smoothness constraint and the 2/3 power law revealed that in both two and three dimensions, the power law is equivalent to setting the jerk along the normal to the path to zero; it generates speed predictions that are similar, but clearly distinguishable from the predictions of our model. We have assessed the accuracy of the model on a number of motor tasks in two and three dimensions, involving discrete movements along arbitrary paths, traced with different limb segments. The new model provides a very close fit to the observed speed profiles in all cases. Its performance is uniformly better compared with all existing versions of the 2/3 power law, suggesting that the correlation between speed and curvature may be a consequence of an underlying motor strategy to produce smooth movements. Our results indicate that the relationship between the path and the speed profile of a complex arm movement is stronger than previously thought, especially within a single trial. The accuracy of the model was quite uniform over movements of different shape, size, and average speed. We did not find evidence for segmentation, yet prediction error increased with movement duration, suggesting a continuous fluctuation of the “tempo” of discrete movements. The implications of these findings for motor planning and on-line control are discussed.

Overview

Integrity signals

Registry

Crossref · 10.1152/jn.1998.80.2.696

Cites

29 of 29 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Show all 29 references

Research works printed but not linked: 5

  1. Jack W. R., 1895, J. Anat. Physiol., 29, 473
  2. Pellison D., 1986, Exp. Brain Res., 62, 303
  3. 10.1037/0096-1523.11.6.828 · DOI
  4. 10.1037/0096-1523.17.1.198 · DOI
  5. 10.1037/0096-1523.14.4.622 · DOI

Cited by

Sorted by citations

See all 241

Metadata

Authors
Todorov, E., & Jordan, M. I.
Affiliations
Massachusetts Institute of Technology (US)
Venue
Journal of Neurophysiology
Published
1998-08-01
Volume
80
Issue
2
Pages
696-714
ISSN
  • 0022-3077 (ISSN-L)
  • 1522-1598
OpenAlex
W1851172369
Cited by
241
References
29
Citations by year
2026: 8 · 2025: 12 · 2024: 14 · 2023: 6 · 2022: 8 · 2021: 9 · 2020: 7 · 2019: 5 · 2018: 7 · 2017: 5 · 2016: 12 · 2015: 13 · 2014: 11 · 2013: 10 · 2012: 11
FWCI
1.06
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Neurophysiology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
  • Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Human Motion and Animation
  • Physical Sciences › Engineering › Biomedical Engineering › Muscle activation and electromyography studies
Keywords
2/3 power law, smoothness constraint, jerk minimization, path curvature, reaching movements, drawing movements, motor planning, movement segmentation, movement tempo
MeSH terms
Arm, Humans, Models, Neurological, Movement, Psychomotor Performance, Reaction Time

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