论文标题
人造轴突中的关键行为
Critical behavior in the Artificial Axon
论文作者
论文摘要
人造轴突是基于生物分子成分的独特合成系统，该系统支持动作电位。在这里，我们在实验和理论上检查了该系统触发的阈值的特性。与实际神经元一样，该阈值对应于鞍节分叉的临界点。我们测量触发时间的延迟时间是阈值距离的函数，从而恢复了$ -1/2 $的预期缩放指数。我们引入了Morris-Lecar类型的最小模型，在实验中验证它，并使用它扩展以“快速”离子通道动力学的极限获得的分析结果。特别是，我们讨论了点火阈值对通道数量的依赖性。人造轴突是一个简化的系统，一种ur-neuron，仅依靠一个离子通道物种进行功能。但是，诸如阈值接近的动作电位行为之类的普遍特性与实际神经元相同。因此，我们可以将人造轴突视为用于电生理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.
