Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks

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Benchmark Model Rank Results
audio-classification-on-shdFastSNN#7Percentage correct: 70.32
image-classification-on-fashion-mnistFastSNN (CNN)#22Accuracy: 90.57
image-classification-on-fashion-mnistFastSNN (MLP)#23Accuracy: 89.05
image-classification-on-mnistFastSNN (CNN)#53Accuracy: 99.3
image-classification-on-mnistFastSNN (MLP)#58Accuracy: 97.91
image-classification-on-n-mnistFastSNN#3Accuracy: 95.91

Rank counts only results with a code link.