Fig. 2From: Analysis of nonlinear noisy integrate & fire neuron models: blow-up and steady statesLeft figure: The function NI(N) against the constant 1 when a(N) is linear. For b=0.5 we have considered a(N)=0.5+N/8, for b=1.2: a(N)=0.4+N/100 and for b=8: a(N)=6+N/100. Right figure: The function NI(N) against the constant 1 with b<0 and a(N)=1+N. Here V R =1; V F =2.Back to article page