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arXiv 1807.05142math.DSnlin.AOq-bio.NC
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中央模式发生器的异质输入可以塑造昆虫的步态

Heterogeneous inputs to central pattern generators can shape insect gaits

Zahra Aminzare, Philip Holmes

摘要:

在我们之前的工作中,我们研究了一个用于昆虫运动的相互连接的爆发神经元模型及其相应的相位振荡器模型,该模型在高速下可以产生稳定的三足摆动离地步态,在低速下可以产生稳定的四足摆动离地步态.然而,在低速下,其他几种稳定的运动模式,通常不观察到昆虫步态,可能共存。在本文中,通过添加异质外部输入到每个振荡器,我们修改的爆发神经元模型,使其相应的相位振荡器模型在每个速度只产生一个稳定的步态,具体地说:一个独特的稳定的四足步态在低速,一个独特的稳定的三脚架步态在高速,和一个独特的分支稳定过渡步态连接它们。这表明源自大脑和中枢神经系统的控制信号可以改变步态模式。

英文摘要:

In our previous work, we studied an interconnected bursting neuron model for insect locomotion, and its corresponding phase oscillator model, which at high speed can generate stable tripod gaits with three legs off the ground simultaneously in swing, and at low speed can generate stable tetrapod gaits with two legs off the ground simultaneously in swing. However, at low speed several other stable locomotion patterns, that are not typically observed as insect gaits, may coexist. In the present paper, by adding heterogeneous external input to each oscillator, we modify the bursting neuron model so that its corresponding phase oscillator model produces only one stable gait at each speed, specifically: a unique stable tetrapod gait at low speed, a unique stable tripod gait at high speed, and a unique branch of stable transition gaits connecting them. This suggests that control signals originating in the brain and central nervous system can modify gait patterns.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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