Systems of differential equations: Simulations of single neuron models (implemented in EjsS)
FitzHugh-Nagumo model
Simulation of the FitzHugh-Nagumo model
The FitzHugh-Nagumo model is an example of a two-dimensional dynamical system that is simple and behaves in essence like the Hodgkin-Huxley model regarding to fast-slow phase plane. So it has two variables: one fast excitation variable \(v\) and one slow recovery variable \(w\). The system of equations is: \[\begin{aligned}\frac{{\dd v}}{{\dd t}} &= f(v) - w + {I_{{\rm{stim}}}}\\[0.25cm] \frac{{\dd w}}{{\dd t}} &= \varepsilon \cdot (v + \beta - \gamma \cdot w)\end{aligned}\] where \(\varepsilon\) is a small parameter and \(f\) is a suitable function.
Traditional choices are: \[f(v) = v - {\tfrac{1}{3}}{v^3},\quad \varepsilon = 0.08,\quad \beta = 0.7,\quad \gamma = 0.8\]
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