Training Deep Spiking Neural Networks For Energy-Efficient Neuromorphic Computing

Spiking Neural Networks (SNNs) encode input information temporally using sparse spiking events, which can be harnessed to achieve higher computational efficiency. However, considering the rapid strides in accuracy enabled by Analog Neural Networks (ANNs),
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