Enhanced multifunctional broadband artificial vision through integration of ReS2 phototransistors with embedded electrodes

Abstract

This paper presents a ReS₂ optoelectronic synapse device designed to mimic the human visual system and artificial neural networks. The device uses bottom embedded electrodes to overcome the Fermi pinning effect from traditional thermal evaporation electrodes, resulting in superior synaptic performance. It replicates the plasticity features of biological synapses, such as short-term and long-term plasticity, by dynamically adjusting the conductance state. The device also demonstrates excellent photoconductive response and allows for flexible regulation of synaptic weights through the combined control of light and electricity. Experimental results show its effectiveness in color imaging and neuromorphic computing, achieving a 90.7% accuracy in handwritten digit recognition tasks. The device's array design supports character encoding storage functionality. This study introduces a new hardware solution for brain-inspired computing and artificial visual systems, with potential applications in various fields.