The what and where of adding channel noise to the Hodgkin-Huxley equations
Joshua H. Goldwyn, Eric Shea-Brown

TL;DR
This paper reviews methods for incorporating channel noise into Hodgkin-Huxley models, compares their accuracy, and provides accessible simulation tools to help researchers understand how stochastic ion channel fluctuations influence neuronal activity.
Contribution
It systematically evaluates existing noise addition approaches to Hodgkin-Huxley equations and offers user-friendly Matlab code for accurate stochastic modeling.
Findings
Some noise models produce quantitative errors compared to kinetic equations.
Recent approaches are both accurate and simple to implement.
The review aims to guide future studies on channel noise effects.
Abstract
One of the most celebrated successes in computational biology is the Hodgkin-Huxley framework for modeling electrically active cells. This framework, expressed through a set of differential equations, synthesizes the impact of ionic currents on a cell's voltage -- and the highly nonlinear impact of that voltage back on the currents themselves -- into the rapid push and pull of the action potential. Latter studies confirmed that these cellular dynamics are orchestrated by individual ion channels, whose conformational changes regulate the conductance of each ionic current. Thus, kinetic equations familiar from physical chemistry are the natural setting for describing conductances; for small-to-moderate numbers of channels, these will predict fluctuations in conductances and stochasticity in the resulting action potentials. At first glance, the kinetic equations provide a far more complex…
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