On the noise modelling in a nerve fiber
A.A. Samoletov, B.N. Vasiev

TL;DR
This paper introduces a new mathematical model for noise in nerve fibers, representing fluctuations as changes in membrane electric properties, differing from traditional stochastic current models.
Contribution
It presents a novel approach to model noise in nerve fibers by linking membrane fluctuations to dynamical systems, offering an alternative to Langevin-type equations.
Findings
Effective modeling of membrane noise as electric characteristic fluctuations
Demonstration of the approach on coupled Nagumo cells
Different from standard additive stochastic current models
Abstract
We present a novel mathematical approach to model noise in dynamical systems. We do so by considering dynamics of a chain of diffusively coupled Nagumo cells affected by noise. We show that the noise in transmembrane current can be effectively modelled as fluctuations in electric characteristics of the membrane. The proposed approach to model noise in a nerve fibre is different from the standard additive stochastic current perturbation (the Langevin type equations).
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Taxonomy
TopicsNeuroscience and Neural Engineering · Neural dynamics and brain function · Plant and Biological Electrophysiology Studies
