arxiv
PublishedOctober 9, 2026 at 4:00 AM
Local Timescale Gates for Timescale-Robust Continual Spiking Neural Networks
Publisher summary· verbatim
arXiv:2510.12843v2 Announce Type: replace Abstract: Spiking neural networks (SNNs) promise energy-efficient artificial intelligence on neuromorphic hardware but struggle with tasks requiring both fast adaptation and long-term memory, especially in continual learning. We propose Local Timescale Gatin
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