The Memristor Crossbar-Based Wta Neural Network

Abstract

The problems of programming memristor arrays (memristor crossbars) are considered. An estimate for the pulse width to set the desired memristor resistance (memristance) value is obtained. The implementation of the Winner-Take-All (WTA) neural network on the memristor crossbar and the NMOS transistors for binary images recognition is proposed. The proposed WTA network implementation by simulation on the LTspice IV software was approved.