Humidity-mediated synaptic plasticity in Ag loaded porous SiOx based memristor for multimodal neuromorphic sensory system

Abstract

Neuromorphic sensory system plays a critical role for human being to perceive, interact and even deduce with the external environment. Multimodal plasticity implementation of neuromorphic sensory system that can learn with diversified information empowers the development of environment-interactive artificial intelligence. In this work, we demonstrated a multimodal neuromorphic sensory system based on Ag loaded porous SiO_x based memristor. The humidity-mediated synaptic plasticity behaviors were detailedly analyzed in the range of 10–90% relative humidity (RH). The humidity-mediated silver ion migration in porous SiO_x memristors was studied by theoretical and experimental methods, and the mechanism of synergistic effect between porous micro-structure and ambient humidity was elucidated. A multimodal neuromorphic sensory system was finally constructed and the adaptive behavior of the human eye was also successfully simulated by taking advantage of this well-designed Au/Ag-SiO_x/ITO memristor. The biomimetic intelligence demonstrated in our multimodal neuromorphic sensory devices and systems shows its potential in promoting the advancement in brain-like artificial intelligence.