Exploration of joint redundancy but not task space variability facilitates supervised motor learning
Exploration of joint redundancy but not task space variability facilitates supervised motor learning
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DOI：
10.1073/pnas.1613383113
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发表时间：
2016-12-13
影响因子：
11.1
通讯作者：
Murthy, Aditya
中科院分区：
文献类型：
--
作者：
Singh, Puneet;Jana, Sumitash;Murthy, Aditya
人类手臂的关节和肌肉数量超过了在 3D 空间中到达所需点所需的数量。尽管之前的研究强调了这种冗余和相关的灵活性如何在路径规划、噪声控制和运动优化中发挥重要作用，但冗余是否以及如何促进运动学习尚未得到研究。在这项工作中，我们量化了冗余空间并研究了其对运动学习的意义和影响。我们建议更大的冗余空间可以加快跨学科的学习速度。我们在学习新运动学（视觉运动适应）和动力学（力场适应）的受试者中观察到了这种模式。有趣的是，我们还观察到优势手和非优势手之间冗余空间的差异，这解释了动力学学习的差异。总而言之，这些结果支持了这样的假设：冗余有助于运动学习，并且运动变异性的冗余成分不是噪声。
The number of joints and muscles in a human arm is more than what is required for reaching to a desired point in 3D space. Although previous studies have emphasized how such redundancy and the associated flexibility may play an important role in path planning, control of noise, and optimization of motion, whether and how redundancy might promote motor learning has not been investigated. In this work, we quantify redundancy space and investigate its significance and effect on motor learning. We propose that a larger redundancy space leads to faster learning across subjects. We observed this pattern in subjects learning novel kinematics (visuomotor adaptation) and dynamics (force-field adaptation). Interestingly, we also observed differences in the redundancy space between the dominant hand and nondominant hand that explained differences in the learning of dynamics. Taken together, these results provide support for the hypothesis that redundancy aids in motor learning and that the redundant component of motor variability is not noise.