Literature DB >> 22033537

Principles of sensorimotor learning.

Daniel M Wolpert1, Jörn Diedrichsen, J Randall Flanagan.   

Abstract

The exploits of Martina Navratilova and Roger Federer represent the pinnacle of motor learning. However, when considering the range and complexity of the processes that are involved in motor learning, even the mere mortals among us exhibit abilities that are impressive. We exercise these abilities when taking up new activities - whether it is snowboarding or ballroom dancing - but also engage in substantial motor learning on a daily basis as we adapt to changes in our environment, manipulate new objects and refine existing skills. Here we review recent research in human motor learning with an emphasis on the computational mechanisms that are involved.

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Year:  2011        PMID: 22033537     DOI: 10.1038/nrn3112

Source DB:  PubMed          Journal:  Nat Rev Neurosci        ISSN: 1471-003X            Impact factor:   34.870


  123 in total

1.  Planning movements in a simple redundant task.

Authors:  Philipp Vetter; Tamar Flash; Daniel M Wolpert
Journal:  Curr Biol       Date:  2002-03-19       Impact factor: 10.834

Review 2.  Merging the senses into a robust percept.

Authors:  Marc O Ernst; Heinrich H Bülthoff
Journal:  Trends Cogn Sci       Date:  2004-04       Impact factor: 20.229

3.  Control of fast-reaching movements by muscle synergy combinations.

Authors:  Andrea d'Avella; Alessandro Portone; Laure Fernandez; Francesco Lacquaniti
Journal:  J Neurosci       Date:  2006-07-26       Impact factor: 6.167

4.  Cerebellar contributions to locomotor adaptations during splitbelt treadmill walking.

Authors:  Susanne M Morton; Amy J Bastian
Journal:  J Neurosci       Date:  2006-09-06       Impact factor: 6.167

5.  Lack of adaptation to random conflicting force fields of variable magnitude.

Authors:  Rahul Gupta; James Ashe
Journal:  J Neurophysiol       Date:  2006-11-08       Impact factor: 2.714

6.  Obligatory adaptation of saccade gains.

Authors:  Riju Srimal; Jörn Diedrichsen; Edward B Ryklin; Clayton E Curtis
Journal:  J Neurophysiol       Date:  2008-01-30       Impact factor: 2.714

7.  Reach adaptation: what determines whether we learn an internal model of the tool or adapt the model of our arm?

Authors:  JoAnn Kluzik; Jörn Diedrichsen; Reza Shadmehr; Amy J Bastian
Journal:  J Neurophysiol       Date:  2008-07-02       Impact factor: 2.714

8.  Decision making, movement planning and statistical decision theory.

Authors:  Julia Trommershäuser; Laurence T Maloney; Michael S Landy
Journal:  Trends Cogn Sci       Date:  2008-07-07       Impact factor: 20.229

9.  Multiple grasp-specific representations of tool dynamics mediate skillful manipulation.

Authors:  James N Ingram; Ian S Howard; J Randall Flanagan; Daniel M Wolpert
Journal:  Curr Biol       Date:  2010-03-25       Impact factor: 10.834

Review 10.  Structure learning in action.

Authors:  Daniel A Braun; Carsten Mehring; Daniel M Wolpert
Journal:  Behav Brain Res       Date:  2009-08-29       Impact factor: 3.332

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  336 in total

1.  Reward Prediction Error Signals are Meta-Representational.

Authors:  Nicholas Shea
Journal:  Nous       Date:  2012-06-21

2.  How is a motor skill learned? Change and invariance at the levels of task success and trajectory control.

Authors:  Lior Shmuelof; John W Krakauer; Pietro Mazzoni
Journal:  J Neurophysiol       Date:  2012-04-18       Impact factor: 2.714

3.  Emotion and reward are dissociable from error during motor learning.

Authors:  Sara B Festini; Stephanie D Preston; Patricia A Reuter-Lorenz; Rachael D Seidler
Journal:  Exp Brain Res       Date:  2016-01-09       Impact factor: 1.972

4.  Developmental improvements in dynamic control of fingertip forces last throughout childhood and into adolescence.

Authors:  Sudarshan Dayanidhi; Asa Hedberg; Francisco J Valero-Cuevas; Hans Forssberg
Journal:  J Neurophysiol       Date:  2013-07-17       Impact factor: 2.714

5.  Tailoring reach-to-grasp to intended action: the role of motor practice.

Authors:  Kate Wilmut; Anna L Barnett
Journal:  Exp Brain Res       Date:  2014-01       Impact factor: 1.972

6.  Haptic guidance interferes with learning to make movements at an angle to stimulus direction.

Authors:  Herbert Heuer; Katrin Rapp
Journal:  Exp Brain Res       Date:  2013-11-26       Impact factor: 1.972

7.  Brief periods of auditory perceptual training can determine the sensory targets of speech motor learning.

Authors:  Daniel R Lametti; Sonia A Krol; Douglas M Shiller; David J Ostry
Journal:  Psychol Sci       Date:  2014-05-08

8.  Feedforward and Feedback Control Share an Internal Model of the Arm's Dynamics.

Authors:  Rodrigo S Maeda; Tyler Cluff; Paul L Gribble; J Andrew Pruszynski
Journal:  J Neurosci       Date:  2018-10-24       Impact factor: 6.167

9.  Dopamine neurons encode performance error in singing birds.

Authors:  Vikram Gadagkar; Pavel A Puzerey; Ruidong Chen; Eliza Baird-Daniel; Alexander R Farhang; Jesse H Goldberg
Journal:  Science       Date:  2016-12-08       Impact factor: 47.728

10.  Adaptation of surround inhibition in the human motor system.

Authors:  P Kassavetis; T A Saifee; A Sadnicka; I Pareés; M Kojovic; J C Rothwell; M J Edwards
Journal:  Exp Brain Res       Date:  2012-08-21       Impact factor: 1.972

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