“…Typically, neuromorphic computing architectures that can emulate the biological brain are generally composed of either two-terminal devices, such as resistive random-access memory (RAM), phase change RAM, or conductive bridge RAM, or three-terminal-based field-effect transistors. , In particular, two-terminal memristive devices using metal oxides, − two-dimensional materials, polymers, and colloidal quantum dots (QDs) − have been considered promising electronic devices due to their high areal density, scalability, and adjustable conductance. Among these candidates, core/shell-structured colloidal QDs are advantageous because of their electronic properties can be tuned by modifying the size, chemical composition, and surfactant. − They also show excellent versatility on various substrates (from rigid to flexible), with solution processability and high stability compared to those of organic semiconductors. ,− Furthermore, QDs are highly sensitive to light, allowing synaptic input of both electrical and optical signals into the device . Despite their excellent electrical and optical properties, the mechanism behind the resistive switching (RS) in QD memristors has not been fully elucidated due to the considerable challenge of deterministically monitoring the location and quantity of defects in QDs.…”