IEEE/ACM Trans Comput Biol Bioinform. 2021 Mar-Apr;18(2):790-796. doi: 10.1109/TCBB.2019.2941689. Epub 2021 Apr 6.
The study of axon tracts is important in neurophysiology. In this paper, we study axon tracts with arbitrary geometry and present a governing equation for ephaptic coupling among the constituent axons. We derive this equation and simulate it, obtaining a novel, geometry-dependent, delayed coupling phenomenon. This has relevance for how an axon tract communicates data in a neurological network.
轴突束的研究在神经生理学中很重要。在本文中,我们研究了具有任意几何形状的轴突束,并提出了一个描述组成轴突之间轴突旁耦合的控制方程。我们推导出了这个方程并进行了模拟,得到了一种新颖的、依赖于几何形状的、延迟的耦合现象。这对于轴突束在神经网络中如何传输数据具有重要意义。