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Influence of viscous loads on motor planning.

Influence of viscous loads on motor planning. Research Abstract Details 

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  • Influence of viscous loads on motor planning. Abstract Text:

    kurt a thoroughmanKurt A Thoroughman,wei wangWei Wang,dimitre n tomovDimitre N Tomov,kurt a thoroughmanKurt A Thoroughman,wei wangWei Wang,dimitre n tomovDimitre N Tomov,

    Here we computationally investigate how encumbering the hand could alter predictions made by the minimum torque change (MTC) and minimum endpoint variance hypotheses (MEPV) of movement planning. After minutes of training, people have made arm trajectories in a robot-generated viscous force field that were similar to previous baseline trajectories without the force field. We simulate the human arm interacting with this viscous load. We found that the viscous forces clearly differentiated MTC and MEPV predictions from both minimum-jerk predictions and from human behavior. We conclude that learned behavior in the viscous environment could arise from minimizing kinematic costs but could not arise from a minimization of either torque change or endpoint variance.

    Influence of viscous loads on motor planning. Publishing Authors By Initials

    ka thoroughmanKA Thoroughman,w wangW Wang,dn tomovDN Tomov,ka thoroughmanKA Thoroughman,w wangW Wang,dn tomovDN Tomov,

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    Influence of viscous loads on motor planning. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: Journal of neurophysiology

    VOLUME: 98

    Page Numbers: 870-7

    Journal Abbreviation: J. Neurophysiol.

    ISSN: 0022-3077

    DAY: 23

    MONTH: 05

    YEAR: 2007

    Influence of viscous loads on motor planning. Information

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    LANGUAGE: eng

    NlmUniqueID: 375404

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    Grant and Affiliation Information for Influence of viscous loads on motor planning.

    AFFILIATION: Department of Biomedical Engineering, Washington University, St. Louis, Missouri 63130, USA. thoroughman@biomed.wustl.edu

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: J Neurophysiol

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