AI RESEARCH
Online Continual Learning on Intel Loihi 2 via a Co-designed Spiking Neural Network
arXiv CS.AI
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ArXi:2511.01553v2 Announce Type: replace-cross AI systems on edge devices require online continual learning -- adapting to non-stationary streams and unfamiliar classes without catastrophic forgetting -- under strict power constraints. We present CLP-SNN, a spiking neural network with a self-normalizing local learning rule and a spike-driven neural state machine for autonomous on-chip learning, implemented on Intel's Loihi 2 neuromorphic processor. On OpenLORIS few-shot experiments, CLP-SNN matches replay-based accuracy rehearsal-free.