Tunable Synaptic Transistor With Volatile and Non-Volatile Switching Capabilities for Hierarchical Data Processing

Abstract

The hierarchical processing capabilities of the human visual system can significantly enhance the efficiency of data processing in the central nervous system. Volatile and non-volatile devices are key components in simulating the central nervous system. Realizing both volatile and non-volatile functionalities on a single device is ideal; however, challenges such as complex preparation and cumbersome switching persist. In this study, a tunable synaptic transistor with volatile and non-volatile switching capabilities is developed, offering ease of fabrication and convenient switching. It can simulate various forms of synaptic plasticity and exhibits excellent storage performance in non-volatile mode. Finally, we design an image preprocessing and classification system based on visual selective attention, which enables efficient neuromorphic computation through hierarchical data processing.