 Carbon nanodot, CNT, based memristors have been widely studied due to their potential applications in artificial synapses, neuromorphic computing, and human sensory perception systems. CNTs can be used to fabricate memristors with excellent electrical and mechanical properties, such as high conductivity, large surface area, and high flexibility. Furthermore, CNTs can be easily integrated into existing electronic circuits, making them suitable for use in neuromorphic computing. Additionally, CNTs can be used to create memristors with tunable resistance states, allowing for the development of artificial synapses with different characteristics. Finally, CNTs can be used to develop sensing devices capable of detecting various stimuli, such as light, temperature, and pressure. This article was authored by Qing Zhang, Mohan Chen, Ye Long Pan, and others.