Recently, artificial synapse devices attracted considerable attention due to their applications in neural computing and peripheral neural sensing simulations. It is of great significance to further enhance the functionality of synapse devices to achieve more complex neural transmission processes. The presenter is dedicated to the design and control of artificial synapse devices to simulate the regulation processes of multiple neurotransmitters at different time scales. The results of a series of studies demonstrate that by employing interface engineering and ion doping techniques in a rational manner; it is possible to effectively regulate the device structure and electrical characteristics, thereby achieving the simulation of short-term and long-term plasticity. Particularly, through multidimensional material integration and heterogeneous junction design, it can be able to realize rapid switching and multiplexing of multiple neurotransmitters with short/long-term plasticity, and simulate the release delay characteristics of neurotransmitters at different time scales. Furthermore, our research explores the functional design of artificial synapse devices in various application scenarios, providing more possibilities for neural computing and peripheral neural sensing simulations.