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论人类运动适应的编码能力。

On the encoding capacity of human motor adaptation.

机构信息

Robotics Laboratory, Department of Mechanical and Aerospace Engineering, Seoul National University, Seoul, South Korea.

School of Sport, Exercise and Rehabilitation Sciences, University of Birmingham, Birmingham, United Kingdom.

出版信息

J Neurophysiol. 2021 Jul 1;126(1):123-139. doi: 10.1152/jn.00593.2020. Epub 2021 Jun 2.

Abstract

Primitive-based models of motor learning suggest that adaptation occurs by tuning the responses of motor primitives. Based on this idea, we consider motor learning as an information encoding procedure, that is, a procedure of encoding a motor skill into primitives. The capacity of encoding is determined by the number of recruited primitives, which depends on how many primitives are "visited" by the movement, and this leads to a rather counterintuitive prediction that faster movement, where a larger number of motor primitives are involved, allows learning more complicated motor skills. Here, we provide a set of experimental results that support this hypothesis. First, we show that learning occurs only with movement, that is, only with nonzero encoding capacity. When participants were asked to counteract a rotating force applied to a robotic handle, they were unable to do so when maintaining a static posture but were able to adapt when making small circular movements. Our second experiment further investigated how adaptation is affected by movement speed. When adapting to a simple (low-information-content) force field, fast (high-capacity) movement did not have an advantage over slow (low-capacity) movement. However, for a complex (high-information-content) force field, the fast movement showed a significant advantage over slow movement. Our final experiment confirmed that the observed benefit of high-speed movement is only weakly affected by mechanical factors. Taken together, our results suggest that the encoding capacity is a genuine limiting factor of human motor adaptation. We propose a novel concept called "encoding capacity" of motor adaptation, which describes an inherent limiting-factor of our brain's ability to learn new motor skills, just like any other storage system. By reinterpreting the existing primitive-based models of motor learning, we hypothesize that the encoding capacity is determined by the size of the movement, and present a set of experimental evidence suggesting that such limiting effect of encoding capacity does exist in human motor adaptation.

摘要

基于运动元的运动学习模型表明,适应是通过调整运动元的响应来实现的。基于这个想法,我们将运动学习视为一种信息编码过程,即将一种运动技能编码为运动元的过程。编码能力取决于所招募的运动元的数量,而这又取决于运动所“访问”的运动元的数量,这就导致了一个相当违反直觉的预测,即更快的运动,涉及更多的运动元,可以学习更复杂的运动技能。在这里,我们提供了一组实验结果来支持这一假设。首先,我们表明学习仅在运动时发生,也就是说,仅在非零编码能力时发生。当参与者被要求对抗施加在机器人手柄上的旋转力时,当他们保持静态姿势时,他们无法做到这一点,但当他们进行小的圆周运动时,他们就能够适应。我们的第二项实验进一步研究了运动速度如何影响适应。当适应一个简单的(低信息含量)力场时,快速(高容量)运动并没有比慢速(低容量)运动有优势。然而,对于一个复杂的(高信息含量)力场,快速运动相对于慢速运动表现出明显的优势。我们的最后一个实验证实,观察到的高速运动的优势仅受到机械因素的微弱影响。总的来说,我们的结果表明,编码能力是人类运动适应的一个真正的限制因素。我们提出了一个新的概念,称为运动适应的“编码能力”,它描述了我们大脑学习新运动技能的能力的固有限制因素,就像任何其他存储系统一样。通过重新解释现有的基于运动元的运动学习模型,我们假设编码能力由运动的大小决定,并提出了一组实验证据,表明这种编码能力的限制效应确实存在于人类的运动适应中。

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