High-frequency signals: a comparison between the cable equation and telegrapher's equations in nerves.

Paul Potgieter, Lukas Linde, Petra van Blerk, Corlius Fourie Birkill
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Abstract

Transmission of electrical impulses along axons is commonly modelled with the cable equation, which neglects the inductive effects that have been measured in nerves. By using the telegrapher's equations, it is possible to incorporate inductive effects and compare with the non-inductive case. Although both of these approaches have been extensively studied, the question remains as to which of these provides a more accurate model of human physiology. Many of the electrical properties of nerves are frequency-dependent, a fact which is not very relevant in a low-frequency domain, but which becomes salient when higher frequencies are considered, and necessitates the exploration of the magnitude of their effects. We compare the effects of both inductance and other variable parameters across a wide frequency range using both the cable equation and the telegrapher's equations, demonstrating that it is possible for axons to transmit high-frequency signals much more effectively than might be expected, especially in the absence of an action potential. This implies that the high-frequency domain necessitates use of the more complete model.

高频信号:神经中电缆方程与电报方程的比较。
电脉冲沿轴突的传输通常用电缆方程来模拟,它忽略了在神经中测量到的感应效应。通过使用电报员方程,可以将归纳效应纳入其中,并与非归纳情况进行比较。尽管这两种方法都得到了广泛的研究,但问题仍然是哪一种方法提供了更准确的人体生理学模型。神经的许多电特性都是频率相关的,这一事实在低频域不太相关,但在考虑更高频率时就会变得突出,并且需要探索其影响的幅度。我们使用电缆方程和电报员方程比较了电感和其他可变参数在宽频率范围内的影响,证明轴突传输高频信号的效率可能比预期的要高得多,特别是在没有动作电位的情况下。这意味着高频域需要使用更完整的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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