Neuromorphic Wireless Split Computing with Resonate-and-Fire Neurons
Researchers have developed a novel neuromorphic wireless split computing architecture utilizing resonate-and-fire (RF) neurons. This system processes time-domain signals directly, bypassing the need for energy-intensive spectral pre-processing. By resonating at tunable frequencies, RF neurons efficiently extract spectral features while maintaining low spiking activity, leading to significant reductions in computation and transmission energy. AI