Hyperbolic partial differential-difference equation in the mathematical modeling of neuronal firing and its numerical solution
Abstract First we assume a simple neuronal model based on Stein’s Model [Richard B. Stein, A theoretical analysis of neuronal variability, Biophys. J. 5 (1965) 173–194] in which, after a refractory period, excitatory and inhibitory exponentially decaying inputs of constant size occur at random intervals and sum until a threshold is reached. We briefly discuss the distribution of time intervals between successive neuronal firings, the firing rate as a function of input frequency, the strength–duration curve and the role of inhibition. Then a first-order partial differential-difference equation for the distribution of neuronal firing intervals is derived and a numerical scheme based on finite difference is constructed for solving such type of initial and boundary value problems. The proposed method is analyzed for stability and convergence. Finally, some test examples are given to validate convergence and the computational efficiency of the present scheme.