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Quantifying How Training Gradient Sparsity Affect Spiking Neural Network Accuracy And Robustness
Spiking Neural Networks (SNNs) have recently received increasing attention in both computational neuroscience and artificial intelligence owing to their potential for energy-efficient computation and reduced memory requirements. Despite these advantages, improving adversarial robustness in SNNs (par
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