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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]