arXiv cs.NE
· Papers
SMM Transformer: Leveraging Spiking Neural Networks for Multimodal Tasks
arXiv:2608.01622v1 Announce Type: new Abstract: Spiking Neural Networks (SNNs) enable event-driven computation with sparse activations, but building multimodal Transformers on SNNs is hindered by unstable training in deep spiking stacks and the mismatch between dense softmax attention and spike-based communication. We