CLP-SNN matches replay-based accuracy rehearsal-free on OpenLORIS few-shot continual learning and achieves 113x lower latency plus 6600x lower energy on Loihi 2 than edge-GPU baselines through algorithmic efficiency and neuromorphic hardware co-design.
Simplified neuron model as a princi- pal component analyzer.Journal of mathematical biology, 15:267–273, 1982
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Online Continual Learning on Intel Loihi 2 via a Co-designed Spiking Neural Network
CLP-SNN matches replay-based accuracy rehearsal-free on OpenLORIS few-shot continual learning and achieves 113x lower latency plus 6600x lower energy on Loihi 2 than edge-GPU baselines through algorithmic efficiency and neuromorphic hardware co-design.