Structural Models of Cortical Networks with Long-Range Connectivity

Figure 3

Localization of four sample eigenvectors of spatially embedded graphs. The squared value of each component of an eigenvector is represented by a rectangle of proportional area, centered at the position of the corresponding node. Top left: FN random position network with 𝑝=0.9. Bottom right: FN lattice position network with 𝑝=0.5. Right top and bottom: Two different eigenvectors of a SW RPN for 𝜙=0.1.