Prototype Replay for Cold-Start Online Class-Incremental Learning in Spiking Networks
A continual learning mechanism that combines prototype replay with a feature extractor enhanced with activity-dependent metaplasticity in a spiking network is proposed that achieves a more favorable stability-plasticity tradeoff than either fully freezing or fully finetuning the feature extractor.