Literature DB >> 16424978

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

R C Miall1, J K Jackson.   

Abstract

We report adaptation to delayed visual feedback during a manual tracking task, testing the nature of the adapted responses with frequency analysis. Two groups of seven subjects tracked unpredictable targets using a handheld joystick, alternating between pursuit and compensatory display trials. The test group then practised for 1 h per day with a visual feedback delay of 300 ms; the control group practice under normal undelayed conditions. Introduction of the visual feedback delay significantly disrupted tracking performance, with an increase in errors and a reduction in frequency of corrective movements. Subjects showed clear evidence of adaptation during the 5 day experiment, decreasing tracking error and decreasing the mean power of intermittent corrections. However, there was no evidence of a return towards the initial high frequency intermittent tracking. We suggest that the adaptation observed in this study reflects the modification of predictive feedforward actions, but that these data do not support control based on Smith Prediction.

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Year:  2006        PMID: 16424978     DOI: 10.1007/s00221-005-0306-5

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  12 in total

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Authors:  N Bhushan; R Shadmehr
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2.  Adaptation to visual feedback delays in a human manual tracking task.

Authors:  A J Foulkes; R C Miall
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3.  Mosaic model for sensorimotor learning and control.

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5.  Is the cerebellum a smith predictor?

Authors:  R C Miall; D J Weir; D M Wolpert; J F Stein
Journal:  J Mot Behav       Date:  1993-09       Impact factor: 1.328

6.  Intermittency in human manual tracking tasks.

Authors:  R C Miall; D J Weir; J F Stein
Journal:  J Mot Behav       Date:  1993-03       Impact factor: 1.328

7.  Prediction precedes control in motor learning.

Authors:  J Randall Flanagan; Philipp Vetter; Roland S Johansson; Daniel M Wolpert
Journal:  Curr Biol       Date:  2003-01-21       Impact factor: 10.834

8.  Cues and control strategies in visually guided tracking.

Authors:  D J Weir; J F Stein; R C Miall
Journal:  J Mot Behav       Date:  1989-09       Impact factor: 1.328

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

Authors:  R C Miall; D J Weir; J F Stein
Journal:  Behav Brain Res       Date:  1988-01       Impact factor: 3.332

10.  Visuomotor tracking with delayed visual feedback.

Authors:  R C Miall; D J Weir; J F Stein
Journal:  Neuroscience       Date:  1985-11       Impact factor: 3.590

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  44 in total

1.  Time gain influences adaptive visual-motor isometric force control.

Authors:  Xiaogang Hu; Molly M Mazich; Karl M Newell
Journal:  Exp Brain Res       Date:  2012-01-26       Impact factor: 1.972

2.  Age-related differences in force variability and visual display.

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Journal:  Exp Brain Res       Date:  2010-03-30       Impact factor: 1.972

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4.  Rapid recalibration based on optic flow in visually guided action.

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5.  An internal model of a moving visual target in the lateral cerebellum.

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6.  Contributions of vision-proprioception interactions to the estimation of time-varying hand and target locations.

Authors:  Hideyuki Tanaka; Charles Worringham; Graham Kerr
Journal:  Exp Brain Res       Date:  2009-04-25       Impact factor: 1.972

7.  Visual control of stable and unstable loads: what is the feedback delay and extent of linear time-invariant control?

Authors:  Ian D Loram; Martin Lakie; Peter J Gawthrop
Journal:  J Physiol       Date:  2009-01-26       Impact factor: 5.182

Review 8.  Assessing the effectiveness of robot facilitated neurorehabilitation for relearning motor skills following a stroke.

Authors:  W S Harwin; A Murgia; E K Stokes
Journal:  Med Biol Eng Comput       Date:  2011-07-21       Impact factor: 2.602

9.  Improving brain-machine interface performance by decoding intended future movements.

Authors:  Francis R Willett; Aaron J Suminski; Andrew H Fagg; Nicholas G Hatsopoulos
Journal:  J Neural Eng       Date:  2013-02-21       Impact factor: 5.379

10.  Anticipation in feedback-delayed manual tracking of a chaotic oscillator.

Authors:  Nigel Stepp
Journal:  Exp Brain Res       Date:  2009-07-16       Impact factor: 1.972

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