Skip to main content

Table 3 Averages and empirical 95 % confidence intervals of the estimates for N=1000 spikes per train

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

Parameter Initializer Fokker–Planck Fortet
Supra-threshold regime
α = 1.40 1.44: [1.40,1.50] 1.36: [1.33,1.40] 1.40: [1.37,1.42]
β = 0.30 0.25: [0.22,0.28] 0.29: [0.26,0.32] 0.30: [0.27,0.32]
γ = 0.14 0.14: [0.10,0.19] 0.14: [0.10,0.17] 0.14: [0.10,0.18]
Supersinusoidal regime
α = 0.10 0.90: [0.85,0.92] 0.11: [0.03,0.29] 0.10: [0.03,0.16]
β = 0.30 0.18: [0.14,0.23] 0.30: [0.21,0.34] 0.31: [0.22,0.34]
γ = 1.98 1.26: [1.16,1.34] 1.92: [1.49,2.05] 1.96: [1.86,2.07]
Critical regime
α = 0.50 0.73: [0.70,0.75] 0.51: [0.43,0.63] 0.53: [0.45,0.64]
β = 0.30 0.20: [0.17,0.24] 0.29: [0.24,0.32] 0.28: [0.19,0.33]
γ = 0.71 0.54: [0.44,0.61] 0.66: [0.52,0.76] 0.67: [0.54,0.77]
Subthreshold regime
α = 0.40 0.62: [0.55,0.65] 0.57: [0.45,0.66] 0.56: [0.26,0.71]
β = 0.30 0.20: [0.17,0.26] 0.22: [0.18,0.29] 0.21: [0.13,0.35]
γ = 0.57 0.36: [0.18,0.44] 0.36: [0.25,0.50] 0.43: [0.28,0.72]