Movement variability near goal equivalent manifolds: fluctuations, control, and model-based analysis.
Movement variability near goal equivalent manifolds: fluctuations, control, and model-based analysis.
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DOI：
10.1016/j.humov.2013.07.019
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发表时间：
2013-10
影响因子：
2.1
通讯作者：
Dingwell, Jonathan B.
中科院分区：
文献类型：
--
作者：
Cusumano, Joseph P.;Dingwell, Jonathan B.
关键词：
人类运动的反复表现的波动一直是人们密切关注的主题，因为它们通常被认为包含有关神经运动系统功能和健康的重要信息。对这些波动的研究采用了多种方法，但通常很难理解如何综合不同的视角来得出一致的图景。在这里，我们描述了一个电机变异性实验研究的概念性框架，它有助于将几何方法与动力学方法统一起来，几何方法侧重于电机冗余的作用，动力学方法表征调节熟练任务执行的纠错过程。我们描述了目标函数，它在数学上指定了所采用的任务策略，以及来自冗余系统控制的想法，如何允许一个人建立简单的、可通过实验测试的试验间波动的动力学模型。在回顾了基本理论之后，我们提出了五个关于目标定向任务重复试验中可以预期的关于假想结构的一般假设。我们回顾了这一一般方法最近的实验应用，并展示了它如何被用来精确地表征人类受试者使用的纠错控制。
Fluctuations in the repeated performance of human movements have been the subject of intense scrutiny because they are generally believed to contain important information about the function and health of the neuromotor system. A variety of approaches has been brought to bear to study of these fluctuations, however it is frequently difficult to understand how to synthesize different perspectives to give a coherent picture. Here, we describe a conceptual framework for the experimental study of motor variability that helps to unify geometrical methods, which focus on the role of motor redundancy, with dynamical methods that characterize the error-correcting processes regulating the performance of skilled tasks. We describe how goal functions, which mathematically specify the task strategy being employed, together with ideas from the control of redundant systems, allow one to formulate simple, experimentally testable dynamical models of inter-trial fluctuations. After reviewing the basic theory, we present a list of five general hypotheses on the structure of uctuations that can be expected in repeated trials of goal-directed tasks. We review recent experimental applications of this general approach, and show how it can be used to precisely characterize the error-correcting control used by human subjects.
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影响因子：
2.4
作者：
Dingwell, JB;Marin, LC
通讯作者：
Marin, LC
影响因子：
2
作者：
Cohen, R. G.;Sternad, D.
通讯作者：
Sternad, D.
影响因子：
2.4
作者：
Dingwell, Jonathan B.;Cusumano, Joseph P.
通讯作者：
Cusumano, Joseph P.
影响因子：
3
作者：
Crevecoeur, F.;Bollens, B.;Lejeune, T. M.
通讯作者：
Lejeune, T. M.
影响因子：
1.9
作者：
Cusumano, JP;Cesari, P
通讯作者：
Cesari, P