arXiv — cs.AI preprintsInternational7 October 2026
SpikeMoE: Brain-Inspired Competitive Routing for Flexible Spiking Mixture-of-Experts
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arXiv:2610.01418v2 Announce Type: replace Abstract: Spiking Neural Networks (SNNs) enable event-driven computation through biologically inspired dynamics at the neuronal scale, while Mixture-of-Experts (MoE) perform conditional computation through expert selection at the model scale. Integrating their strengths offers potential for flexible neural architectures. A key challenge, however, lies in designing an expert selection mechanism based on spiking activity. To address this, we introduce a spike-based k-WTA Router inspired by competition-inhibition observed in the hippocampal CA1 region. Th
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