Article citationsMore>>

Ruffini, G., Salvador, R., Tadayon, E., Sanchez-Todo, R., Pascual-Leone, A. and Santarnecchi, E. (2020) Realistic Modeling of Mesoscopic Ephaptic Coupling in the Human Brain. PLOS Computational Biology, 16, e1007923.
https://doi.org/10.1371/journal.pcbi.1007923

has been cited by the following article:

• TITLE: Differential Ephaptic Networks

  AUTHORS: Aman Chawla, Salvatore Domenic Morgera

  KEYWORDS: Ephaptic Coupling, Ephaptic Networks, Axons

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.10 No.10, October 10, 2022

  ABSTRACT: Ephaptic coupling is the phenomenon where the various axons in an axon tract contribute to the evolution of the voltage variable on each axon. In this paper, we relax the central assumption of electroneutrality used by Reutskiy et al. That assumption is based on charge conservation laws. However, we present data from the literature in support of this relaxation. Thus we are able to justify the presence of negative entries in the geometric W matrix. These negative entries then impact the action potential conduction profiles of the axons in the tract. These “signed” and coupled tracts can be envisioned as bearers of neural information which is akin to that borne by a synapse.