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Neuromechanical tuning of nonlinear postural control dynamics

机译:非线性姿势控制动力学的神经机械调整

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摘要

Postural control may be an ideal physiological motor task for elucidating general questions about the organization, diversity, flexibility, and variability of biological motor behaviors using nonlinear dynamical analysis techniques. Rather than presenting “problems” to the nervous system, the redundancy of biological systems and variability in their behaviors may actually be exploited to allow for the flexible achievement of multiple and concurrent task-level goals associated with movement. Such variability may reflect the constant “tuning” of neuromechanical elements and their interactions for movement control. The problem faced by researchers is that there is no one-to-one mapping between the task goal and the coordination of the underlying elements. We review recent and ongoing research in postural control with the goal of identifying common mechanisms underlying variability in postural control, coordination of multiple postural strategies, and transitions between them. We present a delayed-feedback model used to characterize the variability observed in muscle coordination patterns during postural responses to perturbation. We emphasize the significance of delays in physiological postural systems, requiring the modulation and coordination of both the instantaneous, “passive” response to perturbations as well as the delayed, “active” responses to perturbations. The challenge for future research lies in understanding the mechanisms and principles underlying neuromechanical tuning of and transitions between the diversity of postural behaviors. Here we describe some of our recent and ongoing studies aimed at understanding variability in postural control using physical robotic systems, human experiments, dimensional analysis, and computational models that could be enhanced from a nonlinear dynamics approach.
机译:姿势控制可能是理想的生理运动任务,用于使用非线性动力学分析技术阐明有关生物运动行为的组织,多样性,灵活性和可变性的一般问题。实际上,不是向神经系统提出“问题”,而是可以利用生物系统的冗余及其行为的变异性,以灵活地实现与运动相关的多个并发任务级别目标。这种可变性可能反映了神经机械元件及其对运动控制的相互作用的不断“调整”。研究人员面临的问题是,任务目标与底层元素的协调之间没有一对一的映射。我们回顾最近和正在进行的姿势控制研究,目的是确定姿势控制可变性,多种姿势策略的协调以及它们之间的过渡所基于的常见机制。我们提出了一种延迟反馈模型,用于表征姿势对摄动的反应期间在肌肉协调模式中观察到的变异性。我们强调生理姿势系统中延迟的重要性,要求对扰动的瞬时“被动”响应以及对扰动的延迟“主动”响应都进行调制和协调。未来研究的挑战在于理解姿势行为多样性的神经机械调节和转变之间的机制和原理。在这里,我们描述了我们最近和正在进行的一些研究,旨在了解使用物理机器人系统,人体实验,尺寸分析和可以从非线性动力学方法得到增强的计算模型的姿势控制中的可变性。

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