Deep Spiking Neural Networks With Binary Weights for Object Recognition

Spiking neural networks (SNNs) have shown great potential as a solution for realizing ultralow-power consumption on neuromorphic hardware, but obtaining deep SNNs is still a challenging problem. Existing network conversion methods can effectively obtain SNNs from the trained convolutional neural networks (CNNs) with little performance loss, however, high-precision weights in the converted SNNs wou...