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This work formalizes causal regions as polyhedral regions with fixed causal sets and derive upper and lower bounds on the maximal number of causal regions in both shallow and multilayer feedforward spiking networks.
RL can now discover more diverse triangulations of complex polytopes than specialized geometric algorithms, opening avenues for automated exploration in fields like Calabi-Yau manifold construction.
