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Spiking neural companies (SNNs) represent a household of event-driven models with spatiotemporal characteristics for neuromorphic computing, that are widely benchmarked on neuromorphic information. Interestingly, researchers in the machine discovering community can believe recurrent (artificial) neural systems (RNNs) also provide the capability to extract spatiotemporal functions even though they are not event-driven. Therefore, the question of "what may happen when we benchmark