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cs.NE2025
Learning with Spike Synchrony in Spiking Neural Networks
Yuchen Tian, Assel Kembay, Samuel Tensingh +3
Spiking neural networks (SNNs) promise energy-efficient computation by mimicking biological neural dynamics, yet existing plasticity rules focus on isolated spike pairs and fail to…
cs.LG2025
Stochastic Engrams for Efficient Continual Learning
Isabelle Aguilar, Luis Fernando Herbozo Contreras, Omid Kavehei
The ability to learn continuously in artificial neural networks (ANNs) is often limited by catastrophic forgetting, a phenomenon in which new knowledge becomes dominant. By taking…