Fig. 5: Effects of training on causal emergence occur in five distinct types.
From: Associative conditioning in gene regulatory network models increases integrative causal emergence
t-SNE embedding in 2D of the behavior descriptors for the test trajectories, as classified by the k-means unsupervised learning algorithm; each point corresponds to the test phase for one circuit of one network. The behaviors segregate well into distinct clusters.
