Literature DB >> 15947919

Learning and recall of incremental kinematic and dynamic sensorimotor transformations.

Jessica Klassen1, Christine Tong, J Randall Flanagan.   

Abstract

Numerous studies have shown that when people encounter a sudden and novel sensorimotor transformation that alters perceived or actual movement, they gradually adapt and can later recall what they have learned if they encounter the transformation again. In this study, we tested whether retention and recall of learning is also observed when kinematic and dynamic transformations are introduced incrementally such that participants never experience large movement errors. Participants adapted their reaching movements to either a visuomotor rotation of hand position (kinematic transformation) or a rotary viscous force-field applied to the hand (dynamic transformation). These perturbations were introduced either incrementally or instantaneously. Thus, four groups of participants were tested with an incremental and an instantaneous group for both the kinematic and dynamic perturbations. To evaluate retention of learning, participants from all four groups were tested a day later on the same kinematic or dynamic perturbation presented instantaneously (at full strength). As expected, we found that subjects in the instantaneous group retained learning across days. We also found that, for both kinematic and dynamic perturbations, retention was equally good or better when the transformation was introduced incrementally. Because large and clearly detectable movement errors were not observed during adaptation to incremental perturbations, we conclude that such errors are not required for the learning and retention of internal models of kinematic and dynamic sensorimotor transformations.

Entities:  

Mesh:

Year:  2005        PMID: 15947919     DOI: 10.1007/s00221-005-2247-4

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


  30 in total

1.  Composition and decomposition of internal models in motor learning under altered kinematic and dynamic environments.

Authors:  J R Flanagan; E Nakano; H Imamizu; R Osu; T Yoshioka; M Kawato
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2.  Independent learning of internal models for kinematic and dynamic control of reaching.

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Journal:  Nat Neurosci       Date:  1999-11       Impact factor: 24.884

Review 3.  Internal models for motor control and trajectory planning.

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Journal:  Exp Brain Res       Date:  2001-06       Impact factor: 1.972

5.  Kinematics and dynamics are not represented independently in motor working memory: evidence from an interference study.

Authors:  Christine Tong; Daniel M Wolpert; J Randall Flanagan
Journal:  J Neurosci       Date:  2002-02-01       Impact factor: 6.167

6.  A motor learning strategy reflects neural circuitry for limb control.

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Journal:  Nat Neurosci       Date:  2003-04       Impact factor: 24.884

7.  Multiple paired forward and inverse models for motor control.

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8.  Patterns of interference in sequence learning and prism adaptation inconsistent with the consolidation hypothesis.

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Journal:  Learn Mem       Date:  2002 Sep-Oct       Impact factor: 2.460

9.  Is interlimb transfer of force-field adaptation a cognitive response to the sudden introduction of load?

Authors:  Nicole Malfait; David J Ostry
Journal:  J Neurosci       Date:  2004-09-15       Impact factor: 6.167

10.  The coordination of arm movements: an experimentally confirmed mathematical model.

Authors:  T Flash; N Hogan
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  65 in total

1.  Proprioceptive recalibration in the right and left hands following abrupt visuomotor adaptation.

Authors:  Danielle Salomonczyk; Denise Y P Henriques; Erin K Cressman
Journal:  Exp Brain Res       Date:  2011-12-24       Impact factor: 1.972

2.  Substituting auditory for visual feedback to adapt to altered dynamic and kinematic environments during reaching.

Authors:  Fabio Oscari; Riccardo Secoli; Federico Avanzini; Giulio Rosati; David J Reinkensmeyer
Journal:  Exp Brain Res       Date:  2012-06-26       Impact factor: 1.972

3.  Natural error patterns enable transfer of motor learning to novel contexts.

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Journal:  J Neurophysiol       Date:  2011-09-28       Impact factor: 2.714

4.  Motor adaptation to a small force field superimposed on a large background force.

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Journal:  Exp Brain Res       Date:  2006-11-08       Impact factor: 1.972

5.  Persistence of motor memories reflects statistics of the learning event.

Authors:  Vincent S Huang; Reza Shadmehr
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Review 6.  Functional restoration for the stroke survivor: informing the efforts of engineers.

Authors:  James Patton; Steven L Small; William Zev Rymer
Journal:  Top Stroke Rehabil       Date:  2008 Nov-Dec       Impact factor: 2.119

7.  A shared resource between declarative memory and motor memory.

Authors:  Aysha Keisler; Reza Shadmehr
Journal:  J Neurosci       Date:  2010-11-03       Impact factor: 6.167

8.  Visuomotor adaptation and intermanual transfer under different viewing conditions.

Authors:  Amaris K Balitsky Thompson; Denise Y P Henriques
Journal:  Exp Brain Res       Date:  2010-01-22       Impact factor: 1.972

9.  Basal ganglia-dependent processes in recalling learned visual-motor adaptations.

Authors:  Patrick Bédard; Jerome N Sanes
Journal:  Exp Brain Res       Date:  2011-02-11       Impact factor: 1.972

10.  Real-time error detection but not error correction drives automatic visuomotor adaptation.

Authors:  Mark R Hinder; Stephan Riek; James R Tresilian; Aymar de Rugy; Richard G Carson
Journal:  Exp Brain Res       Date:  2009-10-15       Impact factor: 1.972

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