Critical behavior in the artificial axon

Critical behavior in the artificial axon
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DOI:
10.1088/2399-6528/ac43d0
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发表时间:
2021-12-01
影响因子:
1.2
通讯作者:
Zocchi,Giovanni
Zocchi,Giovanni
中科院分区:
其他
文献类型:
--
作者:
Pi,Ziqi;Zocchi,Giovanni

文献摘要

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人工轴突是一种独特的合成系统,基于生物分子成分,支持动作电位。在这里,我们从实验和理论上检验了该系统中激发阈值的性质。与真实神经元一样,这个阈值对应于鞍结分叉的临界点。我们测量了激发延迟时间作为到阈值距离的函数,恢复了−1/2的期望标度指数。我们引入了一个Morris-LeCar型的最小模型,并在实验上进行了验证,并用它来推广在快离子通道动力学极限下所得到的分析结果。特别地,我们讨论了激发阈值与通道数的关系。人工轴突是一个简化的系统,一个Ur神经元,只依靠一种离子通道发挥作用。尽管如此,诸如阈值附近的动作电位行为之类的普遍特性与真实神经元中的相同。因此,我们可以将人工轴突视为电生理学研究的无细胞面包板。
The Artificial Axon is a unique synthetic system, based on biomolecular components, which supports action potentials. Here we examine, experimentally and theoretically, the properties of the threshold for firing in this system. As in real neurons, this threshold corresponds to the critical point of a saddle-node bifurcation. We measure the delay time for firing as a function of the distance to threshold, recovering the expected scaling exponent of− 1/2. We introduce a minimal model of the Morris-Lecar type, validate it on the experiments, and use it to extend analytical results obtained in the limit of'fast'ion channel dynamics. In particular, we discuss the dependence of the firing threshold on the number of channels. The Artificial Axon is a simplified system, an Ur-neuron, relying on only one ion channel species for functioning. Nonetheless, universal properties such as the action potential behavior near threshold are the same as in real neurons. Thus we may think of the Artificial Axon as a cell-free breadboard for electrophysiology research.