Ramos C F, Stark L W
Group in Biophysics and Neurology Unit, 483 Minor Hall, University of California, Berkeley, CA 94720, USA.
J Mot Behav. 1988 Dec;20(4):462-73. doi: 10.1080/00222895.1988.10735458.
Although computer models have been extensively used in recent years to understand the way physical systems operate and interact, the enormous power of mathematical modeling and computer simulations has been difficult to implement for the benefit of neuroscientists studying the human motor control system. Nevertheless, homeomorphic models are now being used to explain and predict the neural and biomechanical aspects of different human movements. This paper argues for the importance of regarding model simulations as a supplementary approach to traditional methods of experimental investigation by drawing examples from both the experimental and the modeling literature. The discussion focuses on studies of the triphasic control signal for fast, goal-directed movements and on aspects of sampled data control for slow, tracking movements. The aim of this viewpoint article is to promote a more widespread use of modeling and simulation in the field of motor control.
尽管近年来计算机模型已被广泛用于理解物理系统的运行和相互作用方式，但数学建模和计算机模拟的巨大力量一直难以应用于研究人类运动控制系统的神经科学家。然而，同胚模型现在正被用于解释和预测不同人类运动的神经和生物力学方面。本文通过从实验和建模文献中举例，论证了将模型模拟视为传统实验研究方法的补充方法的重要性。讨论集中在快速、目标导向运动的三相控制信号研究以及慢速跟踪运动的采样数据控制方面。这篇观点文章的目的是促进建模和模拟在运动控制领域更广泛的应用。
