Each view is one 1-second trial of the NumPy leaky integrate-and-fire model, drawn on the part of the fly connectome it used. Nodes are neurons (rows and columns of the weight matrix W), edges are non-zero entries. The stimulus drives the chosen sensory neurons for 0–0.5 s, then stops. A healthy model goes quiet afterwards.
L2 logistic regression on spike counts from 0–0.5 s, 17 words × 10 seeds (train 0–6, test 7–9; LOSO = leave one seed out). Chance is 5.9%.