Neuromorphic Computing: Designed Memristor Circuit for Self‐Limited Analog Switching and its Application to a Memristive Neural Network (Adv. Electron. Mater. 6/2019)

In article number 1800740 , H. Song et al. propose an analog data‐programming method for memristors via in‐memory operation in a crossbar array. Analog data can be transferred from a selected reference resistor cell to the target memristor cell by appropriate voltage clocking. Such data transfer can be triggered at any location in the array accurately and quickly; optimization of the design gives a characteristic error of just 2.95%. Their method is then applied to program a memristive neural network and the error is confirmed to be negligible, suggesting this setup can be used in neuromorphic computing applications.