Assisting Training of Deep Spiking Neural Networks With Parameter Initialization
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Spiking neural networks (SNNs) exhibit significant advantages in terms of information encoding, computational capabilities, and power usage. We regard initializing weight distribution as a key problem for effective SNN training. When backpropagation (BP) throu... ...
