Table 2 Parameter values for Example 2. Simulations have been carried out with \(N=21\times22=462\) nodes, \(N_{t}=30\) time steps with time step size \(\Delta t=0.2\) for the inverse problem. The kernel estimation problem has 213,444 degrees of freedom
From: Kernel Reconstruction for Delayed Neural Field Equations
\(r_{0}\) | (1.5,3.0) | σ | 2.0 |
\(r_{1}\) | (4.5,4.5) | τ | 1.0 |
\(r_{2}\) | (4.5,1.5) | c | 2.1 |