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Spiking Neural Networks (SNNs) models have been explored in recent years due to its biological plausibility where temporal coding plays an important role. Biological arguments and computational experiments suggest than some perceptual tasks (vision and olfaction for instance) are well performed by these models. Moreover, some other applications such as machine learning might be benefited from this approach. However, efficient simulation and implementation of SNNs still remain an open challenge.doi:10.1145/1926367.1926369 fatcat:rohdfk4py5hzzi2khg32iwvxbi