The nodes corresponding to a list of states may be highlighted in attractor basins (see #27.8.1, #27.10). This highlights the results of learning and forgetting, but is also useful for seeing how a particular set of states is distributed, and how the distribution changes when network parameters are altered. Highlighted nodes are shown with an outer border. The target node is shown in red and aspiring pre-images in blue. For highlighted nodes shown as bit patterns, these are the colors of 1s, otherwise 1s are shown black. Nodes other than highlighted nodes may be suppressed entirely. The highlighting feature may be used for regular 1d CA.