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A biologically based neural system coordinates the joints and legs of a tetrapod

机译:基于生物学的神经系统可协调四足动物的关节和腿

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摘要

A biologically inspired neural control system has been developed that coordinates a tetrapod trotting gait in the sagittal plane. The developed neuromechanical system is used to explore properties of connections in inter-leg and intra-leg coordination. The neural controller is built with biologically based neurons and synapses, and connections are based on data from literature where available. It is applied to a planar biomechanical model of a rat with 14 joints, each actuated by a pair of antagonistic Hill muscle models. The controller generates tension in the muscles through activation of simulated motoneurons. The hind leg and inter-leg control networks are based on pathways discovered in cat research tuned to the kinematic motions of a rat. The foreleg network was developed by extrapolating analogous pathways from the hind legs. The formulated intra-leg and inter-leg networks properly coordinate the joints and produce motions similar to those of a walking rat. Changing the strength of a single inter-leg connection is sufficient to account for differences in phase timing in different trotting rats.
机译:已开发出一种受生物启发的神经控制系统,该系统可协调矢状面中的四足动物小跑步态。发达的神经力学系统用于探索腿间和腿内协调的连接特性。神经控制器由基于生物学的神经元和突触构建,并且连接基于可用文献中的数据。它应用于具有14个关节的大鼠的平面生物力学模型,每个关节由一对拮抗的Hill肌肉模型驱动。控制器通过激活模拟运动神经元在肌肉中产生张力。后腿和腿间控制网络基于在猫研究中发现的与大鼠运动运动相适应的途径。前肢网络是通过从后腿外推类似的途径而开发的。公式化的腿内和腿间网络可适当协调关节并产生类似于步行大鼠的运动。更改单个腿间连接的强度足以解决不同小跑大鼠的相位时序差异。

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