Compact Behavioral Model of a Nanocomposit Memristor

We suggested a compact behavioral model of a nanocomposite memristor (Co 40 Fe 40 B 20 ) x (LiNbO 3 ) 100 – x , which quantitatively describes the dynamics of changes in the conductivity of laboratory samples, and also implements the mechanisms of the finite storage time of resistive states and the spread in switching voltages from cycle to cycle and from device to device. The possibility of implementing a pulsed neural network with synaptic memristor connections based on this model is shown.