A semantics-preserving co-design exports PyTorch SNNs to event-driven FPGAs via one artifact, achieving 87.4% MNIST accuracy identical to software reference at 0.1375 μs and 31.6 nJ per image.
Spyketorch: Efficient simulation of convolutional spiking neural networks with at most one spike per neuron.Frontiers in Neuroscience, 13:625
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Hardware-Software Co-Design for Event-Driven SNN Deployment on Low-Cost Neuromorphic FPGAs
A semantics-preserving co-design exports PyTorch SNNs to event-driven FPGAs via one artifact, achieving 87.4% MNIST accuracy identical to software reference at 0.1375 μs and 31.6 nJ per image.