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      Estimating the implicit component of visuomotor rotation learning by constraining movement preparation time

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          Abstract

          During sensorimotor adaptation, implicit error-driven learning can be isolated from explicit strategy-driven reaiming by subtracting self-reported aiming directions from movement directions, or by restricting movement preparation time. Here, we compared the two methods. Restricting preparation times did not eliminate re-aiming but was sufficient to suppress reaiming during adaptation with widely distributed targets. The self-report method produced a discrepancy in implicit learning estimated by subtracting aiming directions and implicit learning measured in no-feedback trials.

          Abstract

          When sensory feedback is perturbed, accurate movement is restored by a combination of implicit processes and deliberate reaiming to strategically compensate for errors. Here, we directly compare two methods used previously to dissociate implicit from explicit learning on a trial-by-trial basis: 1) asking participants to report the direction that they aim their movements, and contrasting this with the directions of the target and the movement that they actually produce, and 2) manipulating movement preparation time. By instructing participants to reaim without a sensory perturbation, we show that reaiming is possible even with the shortest possible preparation times, particularly when targets are narrowly distributed. Nonetheless, reaiming is effortful and comes at the cost of increased variability, so we tested whether constraining preparation time is sufficient to suppress strategic reaiming during adaptation to visuomotor rotation with a broad target distribution. The rate and extent of error reduction under preparation time constraints were similar to estimates of implicit learning obtained from self-report without time pressure, suggesting that participants chose not to apply a reaiming strategy to correct visual errors under time pressure. Surprisingly, participants who reported aiming directions showed less implicit learning according to an alternative measure, obtained during trials performed without visual feedback. This suggests that the process of reporting can affect the extent or persistence of implicit learning. The data extend existing evidence that restricting preparation time can suppress explicit reaiming and provide an estimate of implicit visuomotor rotation learning that does not require participants to report their aiming directions.

          NEW & NOTEWORTHY During sensorimotor adaptation, implicit error-driven learning can be isolated from explicit strategy-driven reaiming by subtracting self-reported aiming directions from movement directions, or by restricting movement preparation time. Here, we compared the two methods. Restricting preparation times did not eliminate reaiming but was sufficient to suppress reaiming during adaptation with widely distributed targets. The self-report method produced a discrepancy in implicit learning estimated by subtracting aiming directions and implicit learning measured in no-feedback trials.

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          Author and article information

          Journal
          J Neurophysiol
          J. Neurophysiol
          jn
          jn
          JN
          Journal of Neurophysiology
          American Physiological Society (Bethesda, MD )
          0022-3077
          1522-1598
          1 August 2017
          29 March 2017
          1 August 2018
          : 118
          : 2
          : 666-676
          Affiliations
          [1] 1Centre for Sensorimotor Performance, School of Human Movement and Nutrition Sciences, Building 26B, The University of Queensland , Brisbane, Queensland, Australia; and
          [2] 2School of Psychology and Speech Pathology, Curtin University, Bentley, Western Australia, Australia
          Author notes
          Address for reprint requests and other correspondence: L.-A. Leow, Centre for Sensorimotor Performance, School of Human Movement and Nutrition Sciences, Building 26B, The University of Queensland, Brisbane, Queensland, 4072, Australia (e-mail: l.leow@ 123456uq.edu.au ).
          Author information
          http://orcid.org/0000-0002-9655-3181
          http://orcid.org/0000-0002-2472-7955
          http://orcid.org/0000-0003-0761-1819
          Article
          PMC5539449 PMC5539449 5539449 JN-00834-2016 JN-00834-2016
          10.1152/jn.00834.2016
          5539449
          28356480
          814675c1-9593-4b14-8247-e5c393d4f5cf
          Copyright © 2017 the American Physiological Society
          History
          : 26 October 2016
          : 21 March 2017
          : 24 March 2017
          Funding
          Funded by: http://doi.org/10.13039/501100000923 Department of Industry, Innovation, Science, Research and Tertiary Education, Australian Government | Australian Research Council (ARC)
          Award ID: FT120100391
          Award ID: DP120102692
          Categories
          Research Article
          Control of Movement

          implicit learning,visuomotor rotation,motor learning,compensatory strategies,explicit learning

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