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利用解空间的几何形状来降低对神经运动噪声的敏感性。

Exploiting the geometry of the solution space to reduce sensitivity to neuromotor noise.

机构信息

Department of Bioengineering, Northeastern University, Boston, Massachusetts, United States of America.

Department of Physics, Northeastern University, Boston, Massachusetts, United States of America.

出版信息

PLoS Comput Biol. 2018 Feb 20;14(2):e1006013. doi: 10.1371/journal.pcbi.1006013. eCollection 2018 Feb.

Abstract

Throwing is a uniquely human skill that requires a high degree of coordination to successfully hit a target. Timing of ball release appears crucial as previous studies report required timing accuracies as short as 1-2ms, which however appear physiologically challenging. This study mathematically and experimentally demonstrates that humans can overcome these seemingly stringent timing requirements by shaping their hand trajectories to create extended timing windows, where ball releases achieve target hits despite temporal imprecision. Subjects practiced four task variations in a virtual environment, each with a distinct geometry of the solution space and different demands for timing. Model-based analyses of arm trajectories revealed that subjects first decreased timing error, followed by lengthening timing windows in their hand trajectories. This pattern was invariant across solution spaces, except for a control case. Hence, the exquisite skill that humans evolved for throwing is achieved by developing strategies that are less sensitive to temporal variability arising from neuromotor noise. This analysis also provides an explanation why coaches emphasize the "follow-through" in many ball sports.

摘要

投掷是一项独特的人类技能,需要高度的协调性才能成功击中目标。球的释放时间似乎至关重要,因为之前的研究报告称所需的时间精度短至 1-2ms,但这在生理学上似乎具有挑战性。本研究从数学和实验两方面证明,人类可以通过塑造手的轨迹来创造扩展的时间窗口,从而克服这些看似严格的时间要求,在时间不精确的情况下实现球的释放并击中目标。受试者在虚拟环境中练习了四种任务变体,每种变体的解决方案空间的几何形状不同,对时间的要求也不同。对手臂轨迹的基于模型的分析表明,受试者首先减少了时间误差,然后在手轨迹中延长了时间窗口。这种模式在不同的解决方案空间中是不变的,除了一个控制案例。因此,人类为投掷而进化出的精湛技能是通过发展对由神经运动噪声引起的时间变化不敏感的策略来实现的。这种分析还解释了为什么教练在许多球类运动中强调“随挥”。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d64/5834204/5e60a584c8e7/pcbi.1006013.g001.jpg

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