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灵长类眼肌等长力产生的非线性动力学建模。

Nonlinear dynamic modeling of isometric force production in primate eye muscle.

机构信息

Centre for Signal Processing in Neuroimaging and Systems Neuroscience and Department of Psychology, University of Sheffield, Sheffield, S102TP, UK.

出版信息

IEEE Trans Biomed Eng. 2010 Jul;57(7):1554-67. doi: 10.1109/TBME.2010.2044574. Epub 2010 May 3.

Abstract

Although the oculomotor plant is usually modeled as a linear system, recent studies of ocular motoneuron behavior have drawn attention to the presence of significant nonlinearities. One source of these is the development of muscle force in response to changes in motoneuron firing rate. Here, we attempt to simulate the production of isometric force by the primate lateral rectus muscle in response to electrical stimulation [A. Fuchs and E. Luschei, "Development of isometric tension in simian extraocular muscle," J. Physiol., vol. 219, no. 1, pp. 155-166, 1971] by comparing four different modeling approaches. The data could be well fitted either by parameter estimation for physically based models of force production [J. Bobet, E. R. Gossen, and R. B. Stein, "A comparison of models of force production during stimulated isometric ankle dorsiflexion in humans," IEEE Trans. Neural Syst. Rehabil. Eng., vol. 13, no. 4, pp. 444-451, Dec. 2005; E. Mavritsaki, N. Lepora, J. Porrill, C. H. Yeo, and P. Dean, "Response linearity determined by recruitment strategy in detailed model of nictitating membrane control," Biol. Cybern., vol. 96, no. 1, pp. 39-57, 2007], or by the application of a generic method for nonlinear system identification (the nonlinear autoregressive with exogenous input (NARX) model). These results suggest that nonlinear system identification may be a useful method for modeling more general aspects of muscle function, and provide a basis for distributed models of motor units in extraocular muscle for understanding dynamic oculomotor control. The success of previous linear models points to the potential importance of motor unit recruitment in overcoming nonlinearities in the oculomotor plant.

摘要

虽然眼运动植物通常被建模为线性系统,但最近对眼运动神经元行为的研究引起了人们对存在显著非线性的关注。这些非线性的一个来源是肌肉力量的发展,以响应运动神经元放电率的变化。在这里,我们试图通过比较四种不同的建模方法来模拟灵长类动物外侧直肌对电刺激的等长力产生[A. Fuchs 和 E. Luschei,“灵长类动物眼外肌等长张力的发展”,J. Physiol.,vol. 219,no. 1,pp. 155-166,1971]。通过参数估计,可以很好地拟合数据,也可以通过力产生的物理基础模型来拟合[J. Bobet、E. R. Gossen 和 R. B. Stein,“比较人类刺激等长踝背屈过程中力产生模型”,IEEE Trans. Neural Syst. Rehabil. Eng.,vol. 13,no. 4,pp. 444-451,Dec. 2005;E. Mavritsaki、N. Lepora、J. Porrill、C. H. Yeo 和 P. Dean,“详细的眨眼膜控制模型中,通过募集策略确定响应线性度”,Biol. Cybern.,vol. 96,no. 1,pp. 39-57,2007],或者应用非线性系统识别的通用方法(非线性自回归外部输入(NARX)模型)。这些结果表明,非线性系统识别可能是一种有用的方法,可以模拟肌肉功能的更一般方面,并为理解动态眼运动控制中外眼肌运动单位的分布式模型提供基础。以前线性模型的成功表明,运动单位募集在克服眼运动植物中的非线性方面可能具有重要意义。

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