Energy-aware RL with a spiking Q-network in a brain circuit model cuts alpha-beta oscillations 45% and stimulation charge 80% vs continuous DBS, then deploys at 0.52 mW on neuromorphic hardware.
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Neuromorphic Energy-Aware Learning for Adaptive Deep Brain Stimulation
Energy-aware RL with a spiking Q-network in a brain circuit model cuts alpha-beta oscillations 45% and stimulation charge 80% vs continuous DBS, then deploys at 0.52 mW on neuromorphic hardware.