Sheng-Xin Wang

Unifying Feed-Forward and Weight-Gradient: An Energy-Efficient Architecture for On-Chip SNN Learning

Spiking neural networks (SNNs) enable efficient on-chip learning but face a critical hardware challenge due to the computational asymmetry between small-kernel convolution operations in the feed-forward (FF) stage and large-kernel ones in the weight-gradient (WG) stage. Directly mapping these conflicting patterns onto...