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RhythmGate: Oscillatory-Threshold Plug-in for On-Device Class-Incremental Learning

A drop-in layer for spiking neural network frameworks that sweeps each LIF layer's firing threshold from full suppression to full receptivity in a cosine rhythm every forward pass, letting edge-vision models add new classes on-device with far less catastrophic forgetting and no full retrain.

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