Introducing spiking signals to neural network operations is an important and fundamental feature of the neuromorphic architectures, because of reducing energy-efficiency dramatically, and for emulating information operations of human cortex. Though, in terms of application accuracy, the Spiking Neural Network, SNN, has not been outperforming the Artificial Neural Networks, the reason of which is regarded as that the SNN is following ideas of existing Deep-Neural-Network topologies and their

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... ning methodologies. The outline of this situation is reviewed and studied for seeing into next deployments of the SNN.