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在烟青虫中自由飞行偏航转弯的神经肌肉控制。

Neuromuscular control of free-flight yaw turns in the hawkmoth Manduca sexta.

机构信息

Department of Integrative Biology, University of California, Berkeley, Berkeley, CA 94720, USA.

出版信息

J Exp Biol. 2012 May 15;215(Pt 10):1766-74. doi: 10.1242/jeb.067355.

Abstract

The biomechanical properties of an animal's locomotor structures profoundly influence the relationship between neuromuscular inputs and body movements. In particular, passive stability properties are of interest as they may offer a non-neural mechanism for simplifying control of locomotion. Here, we hypothesized that a passive stability property of animal flight, flapping counter-torque (FCT), allows hawkmoths to control planar yaw turns in a damping-dominated framework that makes rotational velocity directly proportional to neuromuscular activity. This contrasts with a more familiar inertia-dominated framework where acceleration is proportional to force and neuromuscular activity. To test our hypothesis, we collected flight muscle activation timing, yaw velocity and acceleration data from freely flying hawkmoths engaged in planar yaw turns. Statistical models built from these data then allowed us to infer the degree to which the moths inhabit either damping- or inertia-dominated control domains. Contrary to our hypothesis, a combined model corresponding to inertia-dominated control of yaw but including substantial damping effects best linked the neuromuscular and kinematic data. This result shows the importance of including passive stability properties in neuromechanical models of flight control and reveals possible trade-offs between manoeuvrability and stability derived from damping.

摘要

动物运动结构的生物力学特性深刻影响着神经肌肉输入与身体运动之间的关系。特别是被动稳定性特性很有趣,因为它们可能提供了一种非神经机制,用于简化运动控制。在这里,我们假设动物飞行的一种被动稳定性特性——扑翼反扭矩(FCT),使得 Hawk 飞蛾能够在以阻尼为主的框架中控制平面偏航转弯,其中旋转速度与神经肌肉活动直接成正比。这与更为常见的以惯性为主的框架形成对比,在该框架中,加速度与力和神经肌肉活动成正比。为了验证我们的假设,我们从进行平面偏航转弯的自由飞行 Hawk 飞蛾中收集了飞行肌肉激活时间、偏航速度和加速度数据。然后,从这些数据构建的统计模型使我们能够推断出飞蛾在多大程度上处于以阻尼为主或惯性为主的控制域中。与我们的假设相反,对应于以惯性为主控制偏航的综合模型,但包括大量阻尼效应,最能将神经肌肉和运动学数据联系起来。这一结果表明,在飞行控制的神经力学模型中纳入被动稳定性特性的重要性,并揭示了阻尼带来的可操作性和稳定性之间的可能权衡。

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