3 citations · 3 across the 3 of their papers we have counts for
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cs.NE2026
Neuromorphic Energy-Aware Learning for Adaptive Deep Brain Stimulation
Binh Nguyen, Colleen Josephson, Mircea Teodorescu +2
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 exc…
cs.NE2025★ 3 cited
NeuroMorse: A Temporally Structured Dataset For Neuromorphic Computing
Ben Walters, Yeshwanth Bethi, Taylor Kergan +5
Neuromorphic engineering aims to advance computing by mimicking the brain's efficient processing, where data is encoded as asynchronous temporal events. This eliminates the need fo…