Literature DB >> 25429111

Motor adaptation and generalization of reaching movements using motor primitives based on spatial coordinates.

Hirokazu Tanaka1, Terrence J Sejnowski2.   

Abstract

The brain processes sensory and motor information in a wide range of coordinate systems, ranging from retinal coordinates in vision to body-centered coordinates in areas that control musculature. Here we focus on the coordinate system used in the motor cortex to guide actions and examine physiological and psychophysical evidence for an allocentric reference frame based on spatial coordinates. When the equations of motion governing reaching dynamics are expressed as spatial vectors, each term is a vector cross product between a limb-segment position and a velocity or acceleration. We extend this computational framework to motor adaptation, in which the cross-product terms form adaptive bases for canceling imposed perturbations. Coefficients of the velocity- and acceleration-dependent cross products are assumed to undergo plastic changes to compensate the force-field or visuomotor perturbations. Consistent with experimental findings, each of the cross products had a distinct reference frame, which predicted how an acquired remapping generalized to untrained location in the workspace. In response to force field or visual rotation, mainly the coefficients of the velocity- or acceleration-dependent cross products adapted, leading to transfer in an intrinsic or extrinsic reference frame, respectively. The model further predicted that remapping of visuomotor rotation should under- or overgeneralize in a distal or proximal workspace. The cross-product bases can explain the distinct patterns of generalization in visuomotor and force-field adaptation in a unified way, showing that kinematic and dynamic motor adaptation need not arise through separate neural substrates.
Copyright © 2015 the American Physiological Society.

Entities:  

Keywords:  computational model; force-field adaptation; generalization; motor control; motor cortex; proprioception; reference frames; visuomotor rotation

Mesh:

Year:  2014        PMID: 25429111      PMCID: PMC4329437          DOI: 10.1152/jn.00002.2014

Source DB:  PubMed          Journal:  J Neurophysiol        ISSN: 0022-3077            Impact factor:   2.714


  98 in total

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Authors:  J W Krakauer; M F Ghilardi; C Ghez
Journal:  Nat Neurosci       Date:  1999-11       Impact factor: 24.884

2.  The generalization of visuomotor learning to untrained movements and movement sequences based on movement vector and goal location remapping.

Authors:  Howard G Wu; Maurice A Smith
Journal:  J Neurosci       Date:  2013-06-26       Impact factor: 6.167

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Authors:  Wei Wu; Nicholas G Hatsopoulos
Journal:  Exp Brain Res       Date:  2006-12-19       Impact factor: 1.972

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Authors:  Jean-Alban Rathelot; Peter L Strick
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-12       Impact factor: 11.205

5.  Trial-by-trial analysis of intermanual transfer during visuomotor adaptation.

Authors:  Jordan A Taylor; Greg J Wojaczynski; Richard B Ivry
Journal:  J Neurophysiol       Date:  2011-09-14       Impact factor: 2.714

6.  Mechanisms underlying interlimb transfer of visuomotor rotations.

Authors:  Jinsung Wang; Robert L Sainburg
Journal:  Exp Brain Res       Date:  2003-02-26       Impact factor: 1.972

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Authors:  S Kitazawa; T Kohno; T Uka
Journal:  J Neurosci       Date:  1995-11       Impact factor: 6.167

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

Authors:  T Flash; N Hogan
Journal:  J Neurosci       Date:  1985-07       Impact factor: 6.167

9.  Motor memory is encoded as a gain-field combination of intrinsic and extrinsic action representations.

Authors:  Jordan B Brayanov; Daniel Z Press; Maurice A Smith
Journal:  J Neurosci       Date:  2012-10-24       Impact factor: 6.167

10.  Motor task variation induces structural learning.

Authors:  Daniel A Braun; Ad Aertsen; Daniel M Wolpert; Carsten Mehring
Journal:  Curr Biol       Date:  2009-02-12       Impact factor: 10.834

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