Learning spatio-temporal patterns with Neural Cellular Automata

Fig 5

Snapshots of PDE and NCA trajectories from an unseen initial condition.

NCA trained with C = 8, Identity and Laplacian kernels, relu activation, trained on sampling t = 32 for 4000 epochs with Euclidean loss.