Figure 3.

Idealized cortical models used to test regression methods for the identification of sparse graphs were simulated by a ‘small world’ network topology. Nodes resided on a two-dimensional grid on the surface of a torus, thus imposing periodic boundary conditions in the plane. For each simulation, a set of directed connections was first formed with a distribution crafted to induce the ‘small world effect’. The strengths of the connections between parents and children were sampled from a Gaussian distribution. Directed links are shown on the surface of the torus for one sample network.