We propose a new design for a cellular neural network with spintronic neurons
and CMOS-based synapses. Harnessing the magnetoelectric and inverse
Rashba-Edelstein effects allows natural emulation of the behavior of an ideal
cellular network. This combination of effects offers an increase in speed and
efficiency over other spintronic neural networks. A rigorous performance
analysis via simulation is provided.Comment: 8 pages, 6 figure

Hu, Jiaxi