Figure 2.

Construction of dependencies between nodes. By injecting input stimuli into each neuron, we obtain a series of snapshot matrices that record network dynamics. By decomposing the snapshot matrices using SVD, we obtain the decomposition modes and compress them into a single vector for each matrix. We then normalize the vector according to its input neuron and obtain pairwise responses, which constitute the adjacency matrix of pairwise conditional probabilities.