The Accuracy of Voluntary Movement

Woodworth, R. S.

doi:10.1097/00005053-189912000-00005

Cited by 604 publications

(680 citation statements)

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“…Thus the product rule in conjunction with inhibitory efference-copy feedback assures that updating will self-terminate when P; "" T; even if G is much greater than 0. This is most of the story of position-code invariance across different settings of G. However, the size of G can cause positional errors which help to explain the classical Fitts Law (Fitts, 1954) and Woodworth's Law (Woodworth, 1899). Given any finite value of the averaging rate a at which V; integrates T; -P; (Figure 2), V;(t) takes some time to react to changes in P;(t).…”

Section: Neural Specification In the Control Of Reachingmentioning

confidence: 99%

Adaptive neural networks for control of movement trajectories invariant under speed and force rescaling

Bullock

Grossberg

1991

Human Movement Science

127

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Section: Neural Specification In the Control Of Reachingmentioning

confidence: 99%

Adaptive neural networks for control of movement trajectories invariant under speed and force rescaling

Bullock

Grossberg

1991

Human Movement Science

127

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“…Precursors of this central programming view dale back at least as far as I-Iclmholt1. (1867), James (1890), Woodworth (1899), and Lashley (1917;1951).…”

mentioning

confidence: 99%

Learning and production of movement sequences: Behavioral, neurophysiological, and modeling perspectives

Rhodes

Bullock

Verwey

et al. 2004

Human Movement Science

191

174

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“…44,45,46 In this report, we sought to understand the impact of stroke on the smoothness of movement trajectories. We therefore restricted analysis of each trial to the part of the movement trajectory in which hand speed was higher than 0.1 m/s in order to isolate control action(s) most responsible for reach trajectory.…”

Section: B Data Analysismentioning

confidence: 99%

Inter-Joint Coordination Deficits Revealed in the Decomposition of Endpoint Jerk During Goal-Directed Arm Movement After Stroke

Laczkó

Scheidt

Simó

et al. 2017

IEEE Trans. Neural Syst. Rehabil. Eng.

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It is well documented that neurological deficits after stroke can disrupt motor control processes that affect the smoothness of reaching movements. The smoothness of hand trajectories during multi-joint reaching depends on shoulder and elbow joint angular velocities and their successive derivatives as well as on the instantaneous arm configuration and its rate of change. Right-handed survivors of unilateral hemiparetic stroke and neurologically-intact control participants held the handle of a twojoint robot and made horizontal planar reaching movements. We decomposed endpoint jerk into components related to shoulder and elbow joint angular velocity, acceleration, and jerk. We observed an abnormal decomposition pattern in the most severely impaired stroke survivors consistent with deficits of inter-joint coordination. We then used numerical simulations of reaching movements to test whether the specific pattern of inter-joint coordination deficits observed experimentally could be explained by either a general increase in motor noise related to weakness or by an impaired ability to compensate for multi-joint interaction torque. Simulation results suggest that observed deficits in movement smoothness after stroke more likely reflect an impaired ability to compensate for multijoint interaction torques rather than the mere presence of elevated motor noise.

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The Accuracy of Voluntary Movement

Cited by 604 publications

References 0 publications

Adaptive neural networks for control of movement trajectories invariant under speed and force rescaling

Adaptive neural networks for control of movement trajectories invariant under speed and force rescaling

Learning and production of movement sequences: Behavioral, neurophysiological, and modeling perspectives

Inter-Joint Coordination Deficits Revealed in the Decomposition of Endpoint Jerk During Goal-Directed Arm Movement After Stroke

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