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An effect of afferent stimulation using a hardware model of a central pattern generator based on neuronal networks

机译:使用基于神经元网络的中央模式生成器的硬件模型进行传入刺激的效果

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This paper introduces hardware designs for a half-centered locomotor central pattern generator (CPG), composed of units reproducing the electrical behavior of neurons and synapses, such as action potentials, bursting discharges, and post-synaptic potentials. A typical phenomenon generated by the CPG is an alternating rhythmic activity of extensor and flexor sites, in the absence of external rhythmic input. In order to reproduce the phase resetting and non-resetting rhythmic activities observed after the afferent stimulation, a two-level CPG network and unit burst generators were proposed by Rybak et al. from an approach based on mathematical modeling. This paper confirms that such phase resetting and non-resetting rhythmic phenomena could be well reproduced by the hardware design of a two-level CPG using the electronic circuit simulator SPICE. In particular, it has been clarified that the phase resetting depends on the amount of stimulation of the extensor afferents during extension.
机译:本文介绍了半中心运动中央模式发生器(CPG)的硬件设计,该单元由可再现神经元和突触的电行为(例如动作电位,爆发放电和突触后电位)组成的单元组成。 CPG产生的典型现象是在没有外部节奏输入的情况下,伸肌和屈肌部位交替出现节奏活动。为了重现传入刺激后观察到的相位重置和非重置节奏活动,Rybak等人提出了一个两级CPG网络和单位爆发发生器。来自基于数学建模的方法。本文证实,通过使用电子电路仿真器SPICE对两级CPG进行硬件设计,可以很好地重现这种相位重置和非重置的节奏现象。特别地,已经阐明了相位重置取决于伸展期间伸肌传入的刺激量。

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