Literature DB >> 12545283

Evidence for a specific internal representation of motion-force relationships during object manipulation.

Christopher D Mah1, Ferdinando A Mussa-Ivaldi.   

Abstract

Human subjects learned a tracking task which required them to point at a moving target with the free end of an inverted pendulum object. In order to determine how subjects represented this object internally, we studied learning interference between variants of this task in which the pendulum object had either stable or unstable dynamics. Using a novel method, agreement between possible internal representations of the two tasks was estimated by analysis of the motion-to-torque relationships experienced by each subject as they manipulated each object. It was possible to predict retention of the primary task on day 2 from our measure of agreement between primary and interfering tasks on day 1. This result suggests that the subjects learned the correct torque patterns to use to produce specific desired patterns of motion as they learned the balancing task. Surprisingly, the analyses indicate that retention was not impaired when similar motions of the two objects required retrieval of incompatible torque responses, but retention was impaired when similar patterns of motion in the two tasks required similar patterns of applied torque. These findings can be accounted for by a simple model of how multiple similar torque responses are selected and retrieved from memory when responses are freely chosen.

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Mesh:

Year:  2003        PMID: 12545283     DOI: 10.1007/s00422-002-0347-9

Source DB:  PubMed          Journal:  Biol Cybern        ISSN: 0340-1200            Impact factor:   2.086


  10 in total

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2.  Similar movements are associated with drastically different muscle contraction velocities.

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4.  An involuntary stereotypical grasp tendency pervades voluntary dynamic multifinger manipulation.

Authors:  Kornelius Rácz; Daniel Brown; Francisco J Valero-Cuevas
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5.  Maximal voluntary fingertip force production is not limited by movement speed in combined motion and force tasks.

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7.  Interacting Learning Processes during Skill Acquisition: Learning to control with gradually changing system dynamics.

Authors:  Nicolas Ludolph; Martin A Giese; Winfried Ilg
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8.  Eye Tracking of Occluded Self-Moved Targets: Role of Haptic Feedback and Hand-Target Dynamics.

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Journal:  eNeuro       Date:  2017-07-03

9.  Learning to shape virtual patient locomotor patterns: internal representations adapt to exploit interactive dynamics.

Authors:  Christopher J Hasson; Sarah E Goodman
Journal:  J Neurophysiol       Date:  2018-11-07       Impact factor: 2.714

10.  Optimal control predicts human performance on objects with internal degrees of freedom.

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Journal:  PLoS Comput Biol       Date:  2009-06-26       Impact factor: 4.475

  10 in total

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