Metal oxide photoelectric synaptic transistor with CeO<i>x</i> floating gate and its application in neuromorphic computing

Abstract

Photoelectric synaptic transistors (PSTs) based on metal oxide semiconductors (MOSs) have shown promising applications in visual perception and photonic computing. However, the response range of the PST is limited in the ultra-violet region due to the wide bandgap of the MOS. Herein, a visible light-driven InGaZnO PST based on CeOx floating gate is presented. The optical response of the PST is improved due to the introduction of oxygen vacancies in the CeOx floating gate, and the tunable synaptic characteristics are endowed. Various synaptic behaviors under visible light stimulation have been simulated, including paired-pulse facilitation, high-pass filtering characteristics, the transition from short-term memory to long-term memory, and learning-experience behavior. The multilevel conductance modulation is realized through optical programming and electrical erasing operations. An artificial neural network was constructed based on the long-term plasticity of the PST, and 95.3% accuracy was achieved in image recognition. This work promotes the development of oxide-based PST and provides a candidate for artificial visual bionics inspired by visible light.