Synaptic Downscaling

Synaptic downscaling is a biological process where the strength of neural connections is reduced, a mechanism crucial for maintaining stable learning and preventing catastrophic forgetting in the brain. Current research focuses on incorporating this process into artificial neural networks, particularly spiking neural networks, using models inspired by sleep mechanisms like NREM and REM replay, to improve continual learning capabilities. This research aims to enhance the energy efficiency and robustness of artificial intelligence systems by mimicking biological strategies for memory consolidation and adaptation, with potential applications in neuromorphic computing and edge AI.