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# GSCANet

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  1. Gated spiking cross-attention puts the gate before spike firing, lifting CREMA-D accuracy by 2.15 points

    Spiking networks that fuse audio and video have lacked a way to regulate information flow inside cross-modal attention according to the input. GSCANet adds a gate to a dual-stream Spikingformer backbone, placing it on the attention output just before spike firing and driving it with concatenated query and value features. On CREMA-D and RAVDESS this configuration beats the no-gate baseline by 2.15 and 1.05 percentage points; both gate position and driving signal change the outcome.

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