Literature DB >> 19945398

Primitives for motor adaptation reflect correlated neural tuning to position and velocity.

Gary C Sing1, Wilsaan M Joiner, Thrishantha Nanayakkara, Jordan B Brayanov, Maurice A Smith.   

Abstract

The motor commands required to control voluntary movements under various environmental conditions may be formed by adaptively combining a fixed set of motor primitives. Since this motor output must contend with state-dependent physical dynamics during movement, these primitives are thought to depend on the position and velocity of motion. Using a recently developed "error-clamp" technique, we measured the fine temporal structure of changes in motor output during adaptation. Interestingly, these measurements reveal that motor primitives echo a key feature of the neural coding of limb motion-correlated tuning to position and velocity. We show that this correlated tuning explains why initial stages of motor learning are often rapid and stereotyped, whereas later stages are slower and stimulus specific. With our new understanding of these primitives, we design dynamic environments that are intrinsically the easiest or most difficult to learn, suggesting a theoretical basis for the rational design of improved procedures for motor training and rehabilitation.

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Year:  2009        PMID: 19945398     DOI: 10.1016/j.neuron.2009.10.001

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  58 in total

1.  Linear hypergeneralization of learned dynamics across movement speeds reveals anisotropic, gain-encoding primitives for motor adaptation.

Authors:  Wilsaan M Joiner; Obafunso Ajayi; Gary C Sing; Maurice A Smith
Journal:  J Neurophysiol       Date:  2010-09-29       Impact factor: 2.714

2.  The nervous system uses nonspecific motor learning in response to random perturbations of varying nature.

Authors:  Kunlin Wei; Daniel Wert; Konrad Körding
Journal:  J Neurophysiol       Date:  2010-09-22       Impact factor: 2.714

3.  Extinction interferes with the retrieval of visuomotor memories through a mechanism involving the sensorimotor cortex.

Authors:  Jorge I Villalta; Sofia M Landi; Ana Fló; Valeria Della-Maggiore
Journal:  Cereb Cortex       Date:  2013-12-19       Impact factor: 5.357

4.  State dependence of adaptation of force output following movement observation.

Authors:  Paul A Wanda; Gang Li; Kurt A Thoroughman
Journal:  J Neurophysiol       Date:  2013-06-12       Impact factor: 2.714

5.  The training schedule affects the stability, not the magnitude, of the interlimb transfer of learned dynamics.

Authors:  Wilsaan M Joiner; Jordan B Brayanov; Maurice A Smith
Journal:  J Neurophysiol       Date:  2013-05-29       Impact factor: 2.714

6.  Proprioception in motor learning: lessons from a deafferented subject.

Authors:  N Yousif; J Cole; J Rothwell; J Diedrichsen
Journal:  Exp Brain Res       Date:  2015-05-20       Impact factor: 1.972

7.  Flexible Control of Safety Margins for Action Based on Environmental Variability.

Authors:  Alkis M Hadjiosif; Maurice A Smith
Journal:  J Neurosci       Date:  2015-06-17       Impact factor: 6.167

8.  Contributions of the cerebellum and the motor cortex to acquisition and retention of motor memories.

Authors:  David J Herzfeld; Damien Pastor; Adrian M Haith; Yves Rossetti; Reza Shadmehr; Jacinta O'Shea
Journal:  Neuroimage       Date:  2014-05-09       Impact factor: 6.556

9.  New symmetry of intended curved reaches.

Authors:  Elizabeth B Torres
Journal:  Behav Brain Funct       Date:  2010-04-01       Impact factor: 3.759

10.  Reduction in learning rates associated with anterograde interference results from interactions between different timescales in motor adaptation.

Authors:  Gary C Sing; Maurice A Smith
Journal:  PLoS Comput Biol       Date:  2010-08-19       Impact factor: 4.475

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