Multiscale representations of community structures in attractor neural networks
Fig 5
(A) Conversion of images into a weighted graph. We regarded each pixel as a node and determined link weights by spatial proximity and similarity of RGB values. (B,E) Original hi-resolution images used for the segmentation task. We used down-sampled images for the construction of graphs. (C,F) Pattern overlaps obtained after the simulation of LAM with different values of α. (D,G) Representative GL eigenvectors corresponding to segments obtained by LAM.