Literature DB >> 16525798

Are there distinct neural representations of object and limb dynamics?

N Cothros1, J D Wong, P L Gribble.   

Abstract

In recent studies of human motor learning, subjects learned to move the arm while grasping a robotic device that applied novel patterns of forces to the hand. Here, we examined the generality of force field learning. We tested the idea that contextual cues associated with grasping a novel object promote the acquisition and use of a distinct internal model, associated with that object. Subjects learned to produce point-to-point arm movements to targets in a horizontal plane while grasping a robotic linkage that applied either a velocity-dependent counter-clockwise or clockwise force field to the hand. Following adaptation, subjects let go of the robot and were asked to generate the same movements in free space. Small but reliable after-effects were observed during the first eight movements in free space, however, these after-effects were significantly smaller than those observed for control subjects who moved the robot in a null field. No reduction in retention was observed when subjects subsequently returned to the force field after moving in free space. In contrast, controls who reached with the robot in a NF showed much poorer retention when returning to a force field. These findings are consistent with the idea that contextual cues associated with grasping a novel object may promote the acquisition of a distinct internal model of the dynamics of the object, separate from internal models used to control limb dynamics alone.

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Year:  2006        PMID: 16525798     DOI: 10.1007/s00221-006-0411-0

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


  26 in total

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2.  Cortical correlates of learning in monkeys adapting to a new dynamical environment.

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3.  Mosaic model for sensorimotor learning and control.

Authors:  M Haruno; D M Wolpert; M Kawato
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4.  Inter-joint coupling strategy during adaptation to novel viscous loads in human arm movement.

Authors:  D B Debicki; P L Gribble
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5.  Common encoding of novel dynamic loads applied to the hand and arm.

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Journal:  J Neurosci       Date:  2005-06-01       Impact factor: 6.167

6.  Functional stages in the formation of human long-term motor memory.

Authors:  R Shadmehr; T Brashers-Krug
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7.  The role of internal models in motion planning and control: evidence from grip force adjustments during movements of hand-held loads.

Authors:  J R Flanagan; A M Wing
Journal:  J Neurosci       Date:  1997-02-15       Impact factor: 6.167

8.  The motor system does not learn the dynamics of the arm by rote memorization of past experience.

Authors:  M A Conditt; F Gandolfo; F A Mussa-Ivaldi
Journal:  J Neurophysiol       Date:  1997-07       Impact factor: 2.714

9.  Electromyographic correlates of learning an internal model of reaching movements.

Authors:  K A Thoroughman; R Shadmehr
Journal:  J Neurosci       Date:  1999-10-01       Impact factor: 6.167

10.  Time-dependent motor memory processes in amnesic subjects.

Authors:  R Shadmehr; J Brandt; S Corkin
Journal:  J Neurophysiol       Date:  1998-09       Impact factor: 2.714

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  42 in total

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2.  Generalization of dynamics learning across changes in movement amplitude.

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Authors:  Daniel J Goble; Joaquin A Anguera
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5.  Intermanual transfer characteristics of dynamic learning: direction, coordinate frame, and consolidation of interlimb generalization.

Authors:  Christian Stockinger; Benjamin Thürer; Anne Focke; Thorsten Stein
Journal:  J Neurophysiol       Date:  2015-09-30       Impact factor: 2.714

6.  Failure to disrupt the 'sensorimotor' memory for lifting objects with a precision grip.

Authors:  Kelly J Cole; Martin Potash; Clayton Peterson
Journal:  Exp Brain Res       Date:  2007-08-24       Impact factor: 1.972

7.  Multi-compartment model can explain partial transfer of learning within the same limb between unimanual and bimanual reaching.

Authors:  Daichi Nozaki; Stephen H Scott
Journal:  Exp Brain Res       Date:  2009-02-11       Impact factor: 1.972

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

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Journal:  J Neurophysiol       Date:  2008-07-02       Impact factor: 2.714

Review 10.  Understanding sensorimotor adaptation and learning for rehabilitation.

Authors:  Amy J Bastian
Journal:  Curr Opin Neurol       Date:  2008-12       Impact factor: 5.710

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