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首页> 外文期刊>Experimental Brain Research >Motor adaptation to a small force field superimposed on a large background force.
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Motor adaptation to a small force field superimposed on a large background force.

机译:电机对小力场的适应叠加在大背景力上。

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The human motor system adapts to novel force field perturbations during reaching by forming an internal model of the external dynamics and by modulating arm impedance. We studied whether it uses similar strategies when the perturbation is superimposed on a much larger background force. Consistent with the Weber-Fechner law for force perception, subjects had greater difficulty consciously perceiving the force field perturbation when it was superimposed on the large background force. However, they still adapted to the perturbation, decreasing trajectory distortion with repeated reaching and demonstrating kinematic after effects when the perturbation was unexpectedly removed. They also adapted by increasing their arm impedance when the background force was not present, but did not vary the arm impedance when the background force was present. The identified parameters of a previously proposed mathematical model of motor adaptation changed significantly with the presence of the background force. These results indicate that the motor system maintains its sensitivity for internal model formation even when there are large background forces that mask perception. Further, the motor system modulates arm impedance differently in response to the same perturbation depending on the background force onto which that perturbation is superimposed. Finally, these results suggest that computational models of motor adaptation will likely need to include force-dependent parameters to accurately predict errors.
机译:人体电机系统通过形成外部动力学的内部模型并调节手臂阻抗,从而在到达过程中适应了新颖的力场扰动。我们研究了将扰动叠加在更大的背景力上时是否使用类似的策略。与Weber-Fechner力感知定律相一致,当将力场扰动叠加在大背景力上时,受试者有意识地感知力场扰动的难度更大。然而,它们仍然适应于扰动,随着反复到达而减小了轨迹失真,并证明了当扰动被意外消除时的运动后效应。当不存在背景力时,它们也通过增加臂阻抗来适应,但当存在背景力时,它们不改变臂阻抗。先前提出的电机适应性数学模型的已确定参数随着背景力的存在而发生了显着变化。这些结果表明,即使有很大的背景力掩盖了感知力,电动机系统仍保持其对内部模型形成的敏感性。此外,电动机系统根据相同的扰动,根据叠加了该扰动的背景力,对臂阻抗进行不同的调制。最后,这些结果表明,电动机适应性的计算模型可能需要包括与力有关的参数,以准确预测误差。

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