SpikingMoE adds LGN-inspired SDprompt routing to a spike-driven Transformer MoE, replacing MLPs with spike-compatible experts and reporting 94.09% top-1 on CIFAR-10 and 74.54% on CIFAR-100.
Although gains are not uniform across benchmarks, our results show MoE can be incorporated into spiking models to enable modular, dynamic computation
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SpikingMoE: SDPrompt-Guided Dynamic Expert Fusion in Spiking Neural Networks
SpikingMoE adds LGN-inspired SDprompt routing to a spike-driven Transformer MoE, replacing MLPs with spike-compatible experts and reporting 94.09% top-1 on CIFAR-10 and 74.54% on CIFAR-100.