Literature DB >> 24553942

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

Jordan A Taylor1, John W Krakauer, Richard B Ivry.   

Abstract

Visuomotor adaptation has been thought to be an implicit process that results when a sensory-prediction error signal is used to update a forward model. A striking feature of human competence is the ability to receive verbal instructions and employ strategies to solve tasks; such explicit processes could be used during visuomotor adaptation. Here, we used a novel task design that allowed us to obtain continuous verbal reports of aiming direction while participants learned a visuomotor rotation. We had two main hypotheses: the contribution of explicit learning would be modulated by instruction and the contribution of implicit learning would be modulated by the form of error feedback. By directly assaying aiming direction, we could identify the time course of the explicit component and, via subtraction, isolate the implicit component of learning. There were marked differences in the time courses of explicit and implicit contributions to learning. Explicit learning, driven by target error, was achieved by initially large then smaller explorations of aiming direction biased toward the correct solution. In contrast, implicit learning, driven by a sensory-prediction error, was slow and monotonic. Continuous error feedback reduced the amplitude of explicit learning and increased the contribution of implicit learning. The presence of instruction slightly increased the rate of initial learning and only had a subtle effect on implicit learning. We conclude that visuomotor adaptation, even in the absence of instruction, results from the interplay between explicit learning driven by target error and implicit learning of a forward model driven by prediction error.

Entities:  

Keywords:  cerebellum; explicit; implicit; motor adaptation; motor learning; strategy

Mesh:

Year:  2014        PMID: 24553942      PMCID: PMC3931506          DOI: 10.1523/JNEUROSCI.3619-13.2014

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  42 in total

1.  Loss of recent memory after bilateral hippocampal lesions.

Authors:  W B SCOVILLE; B MILNER
Journal:  J Neurol Neurosurg Psychiatry       Date:  1957-02       Impact factor: 10.154

2.  Functional network reorganization during learning in a brain-computer interface paradigm.

Authors:  Beata Jarosiewicz; Steven M Chase; George W Fraser; Meel Velliste; Robert E Kass; Andrew B Schwartz
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-01       Impact factor: 11.205

Review 3.  Power failure: why small sample size undermines the reliability of neuroscience.

Authors:  Katherine S Button; John P A Ioannidis; Claire Mokrysz; Brian A Nosek; Jonathan Flint; Emma S J Robinson; Marcus R Munafò
Journal:  Nat Rev Neurosci       Date:  2013-04-10       Impact factor: 34.870

4.  A reward-modulated hebbian learning rule can explain experimentally observed network reorganization in a brain control task.

Authors:  Robert Legenstein; Steven M Chase; Andrew B Schwartz; Wolfgang Maass
Journal:  J Neurosci       Date:  2010-06-23       Impact factor: 6.167

5.  Adaptation to visuomotor transformations: consolidation, interference, and forgetting.

Authors:  John W Krakauer; Claude Ghez; M Felice Ghilardi
Journal:  J Neurosci       Date:  2005-01-12       Impact factor: 6.167

6.  Throwing while looking through prisms. I. Focal olivocerebellar lesions impair adaptation.

Authors:  T A Martin; J G Keating; H P Goodkin; A J Bastian; W T Thach
Journal:  Brain       Date:  1996-08       Impact factor: 13.501

7.  Overcoming motor "forgetting" through reinforcement of learned actions.

Authors:  Lior Shmuelof; Vincent S Huang; Adrian M Haith; Raymond J Delnicki; Pietro Mazzoni; John W Krakauer
Journal:  J Neurosci       Date:  2012-10-17       Impact factor: 6.167

8.  Age-related variations of visuomotor adaptation result from both the acquisition and the application of explicit knowledge.

Authors:  Mathias Hegele; Herbert Heuer
Journal:  Psychol Aging       Date:  2013-03-18

9.  The cerebellum updates predictions about the visual consequences of one's behavior.

Authors:  Matthis Synofzik; Axel Lindner; Peter Thier
Journal:  Curr Biol       Date:  2008-06-03       Impact factor: 10.834

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

View more
  221 in total

1.  The cerebellum does more than sensory prediction error-based learning in sensorimotor adaptation tasks.

Authors:  Peter A Butcher; Richard B Ivry; Sheng-Han Kuo; David Rydz; John W Krakauer; Jordan A Taylor
Journal:  J Neurophysiol       Date:  2017-06-21       Impact factor: 2.714

2.  Reduced transfer of visuomotor adaptation is associated with aberrant sense of agency in schizophrenia.

Authors:  Sonia Bansal; Karthik G Murthy; Justin Fitzgerald; Barbara L Schwartz; Wilsaan M Joiner
Journal:  Neuroscience       Date:  2019-06-20       Impact factor: 3.590

3.  Blocking trial-by-trial error correction does not interfere with motor learning in human walking.

Authors:  Andrew W Long; Ryan T Roemmich; Amy J Bastian
Journal:  J Neurophysiol       Date:  2016-02-24       Impact factor: 2.714

4.  Characteristics of Implicit Sensorimotor Adaptation Revealed by Task-irrelevant Clamped Feedback.

Authors:  J Ryan Morehead; Jordan A Taylor; Darius E Parvin; Richard B Ivry
Journal:  J Cogn Neurosci       Date:  2017-02-14       Impact factor: 3.225

5.  Financial incentives enhance adaptation to a sensorimotor transformation.

Authors:  Kathrin Gajda; Sandra Sülzenbrück; Herbert Heuer
Journal:  Exp Brain Res       Date:  2016-06-06       Impact factor: 1.972

6.  Flexible explicit but rigid implicit learning in a visuomotor adaptation task.

Authors:  Krista M Bond; Jordan A Taylor
Journal:  J Neurophysiol       Date:  2015-04-08       Impact factor: 2.714

7.  Did I do that? Detecting a perturbation to visual feedback in a reaching task.

Authors:  Elon Gaffin-Cahn; Todd E Hudson; Michael S Landy
Journal:  J Vis       Date:  2019-01-02       Impact factor: 2.240

8.  Seeing the Errors You Feel Enhances Locomotor Performance but Not Learning.

Authors:  Ryan T Roemmich; Andrew W Long; Amy J Bastian
Journal:  Curr Biol       Date:  2016-09-22       Impact factor: 10.834

9.  Neural Signatures of Prediction Errors in a Decision-Making Task Are Modulated by Action Execution Failures.

Authors:  Samuel D McDougle; Peter A Butcher; Darius E Parvin; Fasial Mushtaq; Yael Niv; Richard B Ivry; Jordan A Taylor
Journal:  Curr Biol       Date:  2019-05-02       Impact factor: 10.834

10.  Independent voluntary correction and savings in locomotor learning.

Authors:  Kristan A Leech; Ryan T Roemmich
Journal:  J Exp Biol       Date:  2018-08-07       Impact factor: 3.312

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.