Fig. 5From: A Density Model for a Population of Theta NeuronsSimulations of the model (22). The figures give the repartition of the population at different instants in time: t=0, t=0.1, t=0.5, t=0.6. For each instant, the two plots in the figures represent the same density q(t,θ) obtained by two different methods: the Monte Carlo method—blue curve, and the finite differences scheme approach for the model (22)—black curve. The initial Gaussian repartition q 0 is represented in the upper left plot. The simulations have been obtained for a constant external influence σ 0 =20, the potential jump size—h=5, the coupling parameter—J=3 and the basic current— I b =−1. The last figure shows the repartition at the final time t=3, which evidences a convergence toward an equilibrium repartitionBack to article page