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Fig. 6 | The Journal of Mathematical Neuroscience

Fig. 6

From: Neural Field Models with Threshold Noise

Fig. 6

Mean speed versus ϵ for non-Gaussian threshold distributions. as a function of ϵ for \(\kappa=0.5\), \(h_{0}=0.3\), \(L=100\) for the exponential distribution (top) and the bump distribution (bottom). In each panel results for the non-Gaussian distribution (dashed blue) are compared to those for a Gaussian distribution (solid green) with the same variance. Solid/dashed curves: (24); blue squares (non-Gaussian)/green circles (Gaussian): from averaging (21) over 1000 realisations per point. Equation (9) was truncated after 250 terms per sum. Other parameter values are \(\lambda=1.66\), \(\mu=-0.6\) (top) and \(A=\sqrt{2}\), \(B=2\), \(\alpha=0.5\) (bottom)

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