Hanpu Deng

Rethinking Spiking Neural Networks from an Ensemble Learning Perspective

Spiking neural networks (SNNs) exhibit superior energy efficiency but suffer from limited performance. In this paper, we consider SNNs as ensembles of temporal subnetworks that share architectures and weights, and highlight a crucial issue that affects their performance: excessive differences in ini…