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The Role of Internal Models in Motion Planning and Control: Evidence from Grip Force Adjustments during Movements of Hand-Held Loads

机译:内部模型在运动计划和控制中的作用:来自手持负载运动过程中握力调整的证据

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摘要

We investigated the issue of whether or not the CNS makes use of an internal model of the motor apparatus in planning and controlling arm movements. In particular, we tested the ability of subjects to predict different hand-held loads by examining grip force adjustments used to stabilize the load in the hand during arm movements.Subjects grasped a manipulandum using a precision grip with the tips of the thumb and index finger on either side. The grip force (normal to the contact surfaces) and the load force (tangential to the surfaces) were measured, along with the trajectory of the hand. The manipulandum was attached to two servo-controlled linear motors used to create inertial and viscous loads as well as a composite load, including inertial, viscous, and elastic components.The form of the hand trajectory was independent of load for some subjects but varied systematically across load conditions in others. Nevertheless, under all load conditions and in all subjects, grip force was modulated in parallel with, and thus anticipated, fluctuations in load force despite the marked variation in the form of the load function. This indicates that the CNS is able to predict the load force and the kinematics of hand movement on which the load depends. We suggest this prediction is based on an internal model of the motor apparatus and external load and is used to determine the grip forces required to stabilize the load.
机译:我们研究了中枢神经系统是否在计划和控制手臂运动中利用电机设备的内部模型的问题。特别是,我们通过检查用于在手臂移动过程中稳定手部负载的握力调整来测试受试者预测不同手持负载的能力。受试者用拇指和食指的精确握持力抓握了manipulandum在任一侧。测量握力(垂直于接触表面)和负载力(垂直于表面),以及手的轨迹。 Manipulandum附着在两个伺服控制的线性电动机上,用于产生惯性和粘性载荷以及复合载荷,包括惯性,粘性和弹性分量。手轨迹的形式与某些对象无关,但系统地变化跨其他负载条件。然而,在所有负载条件下和所有受试者中,尽管负载函数形式发生了显着变化,但抓握力仍与负载力的波动平行进行调节,因此可以预期。这表明CNS能够预测负载力以及负载所依赖的手运动的运动学。我们建议此预测基于电机设备的内部模型和外部负载,并用于确定稳定负载所需的抓地力。

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