Towards an Expressivity-Normalized Energy-Demand Comparison of ANNs and SNNs

Miriam Kranzlmüller, Pascal Esser, Gitta Kutyniok

Spiking neural networks (SNNs) are often regarded as energy-efficient alternatives to artificial neural networks (ANNs), yet their advantage depends critically on both network arch…