arXiv cs.NE
· Papers
Representation Capacity-Matched QNN-SNN Twin Construction for Rate-Encoded SNNs
arXiv:2409.08290v5 Announce Type: replace Abstract: Spiking Neural Networks (SNNs) promise higher energy efficiency over conventional Quantized Artificial Neural Networks (QNNs) due to their event-driven, spike-based computation. However, prevailing energy evaluations often oversimplify, focusing on computational aspec