A computational model of neural signalling under the superposition effect of aligned nodes of Ranvier

Myelin plays a crucial role in facilitating efficient signal transmission in the nervous system. Recent theoretical frameworks propose that the alignment and coupling of nerve fibers enhance signal propagation. In this study, we develop a finite element multi-nerve fiber model to investigate the superposition effects of aligned nodes of Ranvier. Unlike traditional single-fiber models, our approach integrates realistic fiber volume and inter-fiber coupling to capture collective neuronal behaviors more accurately. Simulation results demonstrate that node alignment significantly amplifies extracellular potentials, accelerating action potential propagation and enhancing overall transmission efficiency.Clinical Relevance-These findings provide strong support for emerging theories on fiber coupling and alignment while offering novel insights into the fundamental mechanisms of neural signal processing.