Synaptic plasticity in the nanocrystalline ZnO cross-point for neuromorphic systems of AI

The work shows the results of multilevel resistive switching, as well as synaptic plasticity of neuron-like memristive cross-point based on nanocrystalline zinc oxide films. It has been shown that when the amplitude and duration of the input pulse are varied, the crosspoint exhibits 6 resistive states and switching energy in a few pJ. Also, the cross-point exhibit paired-pulse facilitation and depression at pulse interval from 1 ms to 10 ms and from 50 ms to 100 ms, respectively. The obtained results can be used for hardware implementation of neural networks, neuromorphic structures of robotic complexes, prostheses, and artificial intelligence systems.