Literature DB >> 33542527

An implicit memory of errors limits human sensorimotor adaptation.

Scott T Albert1, Jihoon Jang2, Hannah R Sheahan3, Lonneke Teunissen4, Koenraad Vandevoorde5,6, David J Herzfeld2,7, Reza Shadmehr2.   

Abstract

During extended motor adaptation, learning appears to saturate despite persistence of residual errors. This adaptation limit is not fixed but varies with perturbation variance; when variance is high, residual errors become larger. These changes in total adaptation could relate to either implicit or explicit learning systems. Here, we found that when adaptation relied solely on the explicit system, residual errors disappeared and learning was unaltered by perturbation variability. In contrast, when learning depended entirely, or in part, on implicit learning, residual errors reappeared. Total implicit adaptation decreased in the high-variance environment due to changes in error sensitivity, not in forgetting. These observations suggest a model in which the implicit system becomes more sensitive to errors when they occur in a consistent direction. Thus, residual errors in motor adaptation are at least in part caused by an implicit learning system that modulates its error sensitivity in response to the consistency of past errors.
© 2021. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2021        PMID: 33542527     DOI: 10.1038/s41562-020-01036-x

Source DB:  PubMed          Journal:  Nat Hum Behav        ISSN: 2397-3374


  76 in total

1.  Cerebellar regions involved in adaptation to force field and visuomotor perturbation.

Authors:  Opher Donchin; Kasja Rabe; Jörn Diedrichsen; Níall Lally; Beate Schoch; Elke Ruth Gizewski; Dagmar Timmann
Journal:  J Neurophysiol       Date:  2011-10-05       Impact factor: 2.714

2.  Sensory prediction errors drive cerebellum-dependent adaptation of reaching.

Authors:  Ya-Weng Tseng; Jörn Diedrichsen; John W Krakauer; Reza Shadmehr; Amy J Bastian
Journal:  J Neurophysiol       Date:  2007-05-16       Impact factor: 2.714

3.  Explicit and Implicit Processes Constitute the Fast and Slow Processes of Sensorimotor Learning.

Authors:  Samuel D McDougle; Krista M Bond; Jordan A Taylor
Journal:  J Neurosci       Date:  2015-07-01       Impact factor: 6.167

4.  The Neural Feedback Response to Error As a Teaching Signal for the Motor Learning System.

Authors:  Scott T Albert; Reza Shadmehr
Journal:  J Neurosci       Date:  2016-04-27       Impact factor: 6.167

5.  Electromyographic correlates of learning an internal model of reaching movements.

Authors:  K A Thoroughman; R Shadmehr
Journal:  J Neurosci       Date:  1999-10-01       Impact factor: 6.167

6.  Consolidation in human motor memory.

Authors:  T Brashers-Krug; R Shadmehr; E Bizzi
Journal:  Nature       Date:  1996-07-18       Impact factor: 49.962

7.  Explicit and implicit contributions to learning in a sensorimotor adaptation task.

Authors:  Jordan A Taylor; John W Krakauer; Richard B Ivry
Journal:  J Neurosci       Date:  2014-02-19       Impact factor: 6.167

8.  Time-dependent motor memory processes in amnesic subjects.

Authors:  R Shadmehr; J Brandt; S Corkin
Journal:  J Neurophysiol       Date:  1998-09       Impact factor: 2.714

9.  CNS learns stable, accurate, and efficient movements using a simple algorithm.

Authors:  David W Franklin; Etienne Burdet; Keng Peng Tee; Rieko Osu; Chee-Meng Chew; Theodore E Milner; Mitsuo Kawato
Journal:  J Neurosci       Date:  2008-10-29       Impact factor: 6.167

10.  Flexible cognitive strategies during motor learning.

Authors:  Jordan A Taylor; Richard B Ivry
Journal:  PLoS Comput Biol       Date:  2011-03-03       Impact factor: 4.475

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  12 in total

1.  Implicit adaptation to mirror reversal is in the correct coordinate system but the wrong direction.

Authors:  Tianhe Wang; Jordan A Taylor
Journal:  J Neurophysiol       Date:  2021-10-06       Impact factor: 2.714

2.  Competition between parallel sensorimotor learning systems.

Authors:  Scott T Albert; Jihoon Jang; Shanaathanan Modchalingam; Bernard Marius 't Hart; Denise Henriques; Gonzalo Lerner; Valeria Della-Maggiore; Adrian M Haith; John W Krakauer; Reza Shadmehr
Journal:  Elife       Date:  2022-02-28       Impact factor: 8.713

3.  Prolonged response time helps eliminate residual errors in visuomotor adaptation.

Authors:  Samuel D McDougle; Raphael Schween; Lisa Langsdorf; Jana Maresch; Mathias Hegele
Journal:  Psychon Bull Rev       Date:  2021-01-22

4.  The cost of correcting for error during sensorimotor adaptation.

Authors:  Ehsan Sedaghat-Nejad; Reza Shadmehr
Journal:  Proc Natl Acad Sci U S A       Date:  2021-10-05       Impact factor: 12.779

5.  Long-Term Motor Learning in the "Wild" With High Volume Video Game Data.

Authors:  Jennifer B Listman; Jonathan S Tsay; Hyosub E Kim; Wayne E Mackey; David J Heeger
Journal:  Front Hum Neurosci       Date:  2021-12-20       Impact factor: 3.169

6.  Error inconsistency does not generally inhibit saccadic adaptation: Support for linear models of multi-gainfield adaptation.

Authors:  Thomas Eggert; Katharina Kaltenbach; Andreas Straube
Journal:  Physiol Rep       Date:  2022-02

Review 7.  Using Artificial Intelligence for Assistance Systems to Bring Motor Learning Principles into Real World Motor Tasks.

Authors:  Koenraad Vandevoorde; Lukas Vollenkemper; Constanze Schwan; Martin Kohlhase; Wolfram Schenck
Journal:  Sensors (Basel)       Date:  2022-03-23       Impact factor: 3.576

8.  A single exposure to altered auditory feedback causes observable sensorimotor adaptation in speech.

Authors:  Lana Hantzsch; Benjamin Parrell; Caroline A Niziolek
Journal:  Elife       Date:  2022-07-11       Impact factor: 8.713

9.  Residual errors in visuomotor adaptation persist despite extended motor preparation periods.

Authors:  Matthew Weightman; John-Stuart Brittain; R Chris Miall; Ned Jenkinson
Journal:  J Neurophysiol       Date:  2022-01-19       Impact factor: 2.714

10.  Changes in error-correction behavior according to visuomotor maps in goal-directed projection tasks.

Authors:  Ayane Kusafuka; Ryoji Onagawa; Arata Kimura; Kazutoshi Kudo
Journal:  J Neurophysiol       Date:  2022-03-23       Impact factor: 2.714

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