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cs.NE2026
Gradient-Free Continual Learning in Spiking Neural Networks via Inter-Spike Interval Regularization
Samrendra Roy, Kazuma Kobayashi, Souvik Chakraborty +2
Continual learning, the ability to acquire new tasks sequentially without forgetting prior knowledge, is essential for deploying neural networks in dynamic real-world environments,…
cs.NE2026
Neuromorphic Continual Learning for Sequential Deployment of Nuclear Plant Monitoring Systems
Samrendra Roy, Sajedul Talukder, Syed Bahauddin Alam
Anomaly detection in nuclear industrial control systems (ICS) requires continuous, energy-efficient monitoring across multiple subsystems that are often deployed at different stage…