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Table 1 Parameters used in the simulations of the neural network and for solving the McKean-Vlasov-Fokker-Planck equation

From: Mean-field description and propagation of chaos in networks of Hodgkin-Huxley and FitzHugh-Nagumo neurons

Initial condition Phase space FitzHugh-Nagumo Synaptic weights Synapse
t fin =[0.5,1.2,1.5,2.2],
Δt = 0.01 (mean field),
0.1 (network)
V min =3 a = 0.7 J ¯ =1 V rev =1
V max =3 b = 0.8 σ J =0.2 a r =1
ΔV = 0.1 c = 0.08   a d =1
V ¯ 0 =0.0 w min =2 I = 0.4   T max =1
σ V 0 =0.4 w max =2 σ ext =0   λ = 0.2
w ¯ 0 =0.5 Δw = 0.1    V T =2
σ w 0 =0.4 y min =0    Γ = 0.1
y ¯ 0 =0.3 y max =1    Λ = 0.5
σ y 0 =0.05 Δy = 0.06    
  1. Results are shown in Figures 4 and 5 (see text).
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