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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).