Efficient and self-adaptive in-situ learning in multilayer memristor neural networks

Abstract Memristors with tunable resistance states are emerging building blocks of artificial neural networks. However, in situ learning on a large-scale multiple-layer memristor network has yet to be demonstrated because of challenges in device property engineering and circuit integration. Here we ... View More