A hybrid dense/sparse FPGA accelerator shows that quantization increases SNN sparsity and that direct coding beats rate coding in both accuracy and energy.
Conversion of analog to spiking neural networks using sparse temporal coding,
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Exploring the Sparsity-Quantization Interplay on a Novel Hybrid SNN Event-Driven Architecture
A hybrid dense/sparse FPGA accelerator shows that quantization increases SNN sparsity and that direct coding beats rate coding in both accuracy and energy.