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本文引用的文献

1
Muscle cocontraction following dynamics learning.动态学习后的肌肉共同收缩
Exp Brain Res. 2008 Sep;190(2):153-63. doi: 10.1007/s00221-008-1457-y. Epub 2008 Jun 27.
2
Modifiability of generalization in dynamics learning.动力学学习中泛化的可修改性。
J Neurophysiol. 2007 Dec;98(6):3321-9. doi: 10.1152/jn.00576.2007. Epub 2007 Oct 10.
3
Control of hand impedance under static conditions and during reaching movement.静态条件下及伸手运动过程中手部阻抗的控制。
J Neurophysiol. 2007 Apr;97(4):2676-85. doi: 10.1152/jn.01081.2006. Epub 2007 Feb 7.
4
Adjustment of the human arm viscoelastic properties to the direction of reaching.人体手臂粘弹性特性对伸手方向的适应性。
Biol Cybern. 2006 Feb;94(2):97-109. doi: 10.1007/s00422-005-0018-8. Epub 2005 Dec 13.
5
Rapid reshaping of human motor generalization.人类运动泛化的快速重塑
J Neurosci. 2005 Sep 28;25(39):8948-53. doi: 10.1523/JNEUROSCI.1771-05.2005.
6
Failure to consolidate the consolidation theory of learning for sensorimotor adaptation tasks.未能巩固用于感觉运动适应任务的学习巩固理论。
J Neurosci. 2004 Oct 6;24(40):8662-71. doi: 10.1523/JNEUROSCI.2214-04.2004.
7
Learning to control arm stiffness under static conditions.学习在静态条件下控制手臂的僵硬度。
J Neurophysiol. 2004 Dec;92(6):3344-50. doi: 10.1152/jn.00596.2004. Epub 2004 Jul 28.
8
Adaptation to stable and unstable dynamics achieved by combined impedance control and inverse dynamics model.通过组合阻抗控制和逆动力学模型实现对稳定和不稳定动力学的适应。
J Neurophysiol. 2003 Nov;90(5):3270-82. doi: 10.1152/jn.01112.2002.
9
Elbow impedance during goal-directed movements.目标导向运动过程中的肘部阻抗。
Exp Brain Res. 2003 Sep;152(1):17-28. doi: 10.1007/s00221-003-1507-4. Epub 2003 Jul 23.
10
Transfer of motor learning across arm configurations.运动学习在不同手臂构型间的迁移。
J Neurosci. 2002 Nov 15;22(22):9656-60. doi: 10.1523/JNEUROSCI.22-22-09656.2002.

人体手臂阻抗对动力学学习和泛化的影响。

Effects of human arm impedance on dynamics learning and generalization.

作者信息

Darainy Mohammad, Mattar Andrew A G, Ostry David J

机构信息

Department of Psychology, McGill University, Montreal, Quebec, Canada H3A 1B1.

出版信息

J Neurophysiol. 2009 Jun;101(6):3158-68. doi: 10.1152/jn.91336.2008. Epub 2009 Apr 8.

DOI:10.1152/jn.91336.2008
PMID:19357340
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2694125/
Abstract

Previous studies have demonstrated anisotropic patterns of hand impedance under static conditions and during movement. Here we show that the pattern of kinematic error observed in studies of dynamics learning is associated with this anisotropic impedance pattern. We also show that the magnitude of kinematic error associated with this anisotropy dictates the amount of motor learning and, consequently, the extent to which dynamics learning generalizes. Subjects were trained to reach to visual targets while holding a robotic device that applied forces during movement. On infrequent trials, the load was removed and the resulting kinematic error was measured. We found a strong correlation between the pattern of kinematic error and the anisotropic pattern of hand stiffness. In a second experiment subjects were trained under force-field conditions to move in two directions: one in which the dynamic perturbation was in the direction of maximum arm impedance and the associated kinematic error was low and another in which the perturbation was in the direction of low impedance where kinematic error was high. Generalization of learning was assessed in a reference direction that lay intermediate to the two training directions. We found that transfer of learning was greater when training occurred in the direction associated with the larger kinematic error. This suggests that the anisotropic patterns of impedance and kinematic error determine the magnitude of dynamics learning and the extent to which it generalizes.

摘要

先前的研究已经证明了在静态条件下以及运动过程中手部阻抗的各向异性模式。在此我们表明,在动力学学习研究中观察到的运动学误差模式与这种各向异性阻抗模式相关。我们还表明,与这种各向异性相关的运动学误差的大小决定了运动学习的量,进而决定了动力学学习泛化的程度。受试者在握住一个在运动过程中施加力的机器人设备的同时,被训练朝着视觉目标伸手。在不频繁的试验中,移除负载并测量由此产生的运动学误差。我们发现运动学误差模式与手部刚度的各向异性模式之间存在很强的相关性。在第二个实验中,受试者在力场条件下被训练在两个方向上运动:一个方向是动态扰动沿手臂最大阻抗方向,相关的运动学误差较低;另一个方向是扰动沿低阻抗方向,此时运动学误差较高。在介于两个训练方向之间的参考方向上评估学习的泛化情况。我们发现,当在与较大运动学误差相关的方向上进行训练时,学习的迁移更大。这表明阻抗和运动学误差的各向异性模式决定了动力学学习的大小及其泛化程度。