Accuracy-Efficiency Trade-offs of Temporal Enrichment in Spiking Neural Networks
Spiking neural networks (SNNs) promise energyefficient temporal processing, but the choice of neuron model affects both task accuracy and hardware cost. We compare three mechanisms for enriching temporal processing in SNNs- heterogeneity, adaptation, and synaptic delays-on auditory benchmarks (SHD, SSC) under controlle...