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Coupling relationship between the central pattern generator and the cerebral cortex with time delay

机译:中央模式发生器与大脑皮层之间的时延耦合关系

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摘要

Brain activity is a cooperative process among neurons and involves the coupling relationship, which is crucial to perform operational tasks in various specialized areas of the nervous system. A finite signal transmission speed along the axons results in a space-dependent time delay. The central pattern generator (CPG) can in principle produce basic locomotor rhythm in the absence of inputs from higher brain centers and peripheral sensory feedback. To study the dynamic performance of CPG with time delay and its coupling relationship with the cerebral cortex, a new CPG model with time delay and a model of the neural mass model (NMM) and the CPG are developed. The coupling model is based on biological experimental results. Bifurcation theories and maximal Lyapunov exponent are used to analyze the dynamic performance. From the results, some CPGs are suggested to be embedded in limbs and composed of the parameters space which corresponds to the one of the cerebral cortex. This embodiment of humans can reduce the burden of the brain and simplify the control of the locomotion. The results also show that the phase diagram of the CPG cannot keep the limit cycle, and that the state of the NMM becomes increasingly chaotic as time delay increases. This finding implies that a person with slow reaction can easily lose the stability of his or her locomotion.
机译:大脑活动是神经元之间的合作过程,并涉及耦合关系,这对于在神经系统的各个特定区域执行操作任务至关重要。沿轴突的有限信号传输速度会导致与空间有关的时间延迟。中央模式发生器(CPG)原则上可以在没有来自较高大脑中枢的输入和周围感觉反馈的情况下产生基本的运动节律。为了研究具有时间延迟的CPG的动态性能及其与大脑皮层的耦合关系,开发了具有时间延迟的CPG新模型以及神经质量模型(NMM)和CPG的模型。耦合模型基于生物学实验结果。分叉理论和最大李雅普诺夫指数用于分析动态性能。从结果来看,一些CPG被建议嵌入四肢中,并由与大脑皮层之一相对应的参数空间组成。人类的这种实施方式可以减轻大脑的负担并简化对运动的控制。结果还表明,CPG的相图无法保持极限周期,并且随着时间延迟的增加,NMM的状态变得越来越混乱。这一发现表明,反应迟钝的人很容易失去其运动的稳定性。

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