Literature DB >> 3342112

Planning of movement parameters in a visuo-motor tracking task.

R C Miall1, D J Weir, J F Stein.   

Abstract

Monkeys trained to track a continuously moving visual target with a joystick do so by making a series of intermittent positional corrections rather than in a single smooth movement. The amplitude of each correction is highly correlated both with the error between the target and joystick positions, and with the velocity of the target, measured at movement onset. This velocity estimate is used to predict where the target will be by the end of each movement, and thus helps to set its amplitude correctly. To do this successfully, the monkey must know in advance how long his next movement will take. But, confusingly, the eventual duration of each movement is also highly correlated with its amplitude. So it appears that the monkeys need to simultaneously know the amplitude and duration of a movement, but cannot determine one without prior knowledge of the other. We have examined two possible solutions to this problem; only one agrees with our data. The monkeys seem to select the amplitude of their movements by scaling target velocity by a standard time constant which gives the additional distance the target will move. They then add this to the positional error estimated at or near to the start of each movement, to get the final movement amplitude. The velocity scaling value that gives the best fit to the observed amplitudes is very close to the average duration of all the monkeys movements. We therefore propose that the monkeys use a standard time constant for the purpose of calculating how far the target will move during each of their positional corrections.(ABSTRACT TRUNCATED AT 250 WORDS)

Mesh:

Year:  1988        PMID: 3342112     DOI: 10.1016/0166-4328(88)90104-0

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.332


  9 in total

1.  Anticipatory control of hand and eye movements in humans during oculo-manual tracking.

Authors:  G R Barnes; J F Marsden
Journal:  J Physiol       Date:  2002-02-15       Impact factor: 5.182

2.  Adaptation to visual feedback delays in manual tracking: evidence against the Smith Predictor model of human visually guided action.

Authors:  R C Miall; J K Jackson
Journal:  Exp Brain Res       Date:  2006-01-20       Impact factor: 1.972

3.  Proprioceptive guidance and motor planning of reaching movements to unseen targets.

Authors:  S Hocherman
Journal:  Exp Brain Res       Date:  1993       Impact factor: 1.972

4.  Eye-hand synergy and intermittent behaviors during target-directed tracking with visual and non-visual information.

Authors:  Chien-Ting Huang; Ing-Shiou Hwang
Journal:  PLoS One       Date:  2012-12-07       Impact factor: 3.240

5.  Development of a quantitative evaluation system for visuo-motor control in three-dimensional virtual reality space.

Authors:  Woong Choi; Jongho Lee; Naoki Yanagihara; Liang Li; Jaehyo Kim
Journal:  Sci Rep       Date:  2018-09-07       Impact factor: 4.379

6.  Characteristic of Motor Control in Three-Dimensional Circular Tracking Movements during Monocular Vision.

Authors:  Woong Choi; Liang Li; Jongho Lee
Journal:  Biomed Res Int       Date:  2019-11-03       Impact factor: 3.411

7.  Analysis of Control Characteristics between Dominant and Non-Dominant Hands by Transient Responses of Circular Tracking Movements in 3D Virtual Reality Space.

Authors:  Wookhyun Park; Woong Choi; Hanjin Jo; Geonhui Lee; Jaehyo Kim
Journal:  Sensors (Basel)       Date:  2020-06-19       Impact factor: 3.576

8.  Analysis of Visuo Motor Control between Dominant Hand and Non-Dominant Hand for Effective Human-Robot Collaboration.

Authors:  Hanjin Jo; Woong Choi; Geonhui Lee; Wookhyun Park; Jaehyo Kim
Journal:  Sensors (Basel)       Date:  2020-11-08       Impact factor: 3.576

9.  Analysis of motor control strategy for frontal and sagittal planes of circular tracking movements using visual feedback noise from velocity change and depth information.

Authors:  Geonhui Lee; Woong Choi; Hanjin Jo; Wookhyun Park; Jaehyo Kim
Journal:  PLoS One       Date:  2020-11-11       Impact factor: 3.240

  9 in total

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