arXiv cs.NE
· Papers
Neuromorphic Energy-Aware Learning for Adaptive Deep Brain Stimulation
arXiv:2606.28600v1 Announce Type: new Abstract: Neuromorphic and edge computing research has focused on reducing the inference cost of neural network controllers, yet in physical closed-loop systems the actuator can rival or exceed an efficient controller in energy. An efficient controller is therefore necessary but no