2024
TAB: Temporal Accumulated Batch Normalization in Spiking Neural Networks
ICLR 2024poster
Spiking Neural Networks (SNNs) are attracting growing interest for their energy-efficient computing when implemented on neuromorphic hardware. However, directly training SNNs, even adopting batch normalization (BN), is highly challenging due to their non-differentiable activation function and the te…