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Fig. 6 | The Journal of Mathematical Neuroscience

Fig. 6

From: Fokker–Planck and Fortet Equation-Based Parameter Estimation for a Leaky Integrate-and-Fire Model with Sinusoidal and Stochastic Forcing

Fig. 6

Effect of M, the number of bins, on the approximate survival distribution. The full-drawn blue curve is the true survivor distribution given in Eq. (9), the red points are the approximation given in Eq. (16). In the figures, the least populous (above) and most populous (below) bin for each M is shown. The width of the bins is δϕ=2π/(ΩM). We have used a, eM=5; b, fM=10; c, gM=20; d, iM=40. As M increases, the approximation of using the survival distribution using ϕ m instead of ϕ n improves since ϕ m (n) ϕ n as M. The data are generated using parameter values from the supersinusoidal regime and N=1000. For this particular data set the largest generated ISI was 6.55 time units

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