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Fig. 5 | The Journal of Mathematical Neuroscience

Fig. 5

From: A Density Model for a Population of Theta Neurons

Fig. 5

Simulations 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 repartition

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