Organic–inorganic hybrid transistors: from basic device process to artificial visual applications

Abstract Artificial visual systems can emulate the information processing mechanisms of visual cortex, becoming a key focus in the field of intelligent perception. Therefore, the construction of such systems holds a great promise for enabling next-generation intelligent interaction and autonomous decision-making technologies. Notably, recent advances have shown that organic–inorganic hybrid transistors exhibit a growing interests in the field of artificial vision. However, a comprehensive review is still lacking in this field. Here, we summarize the recent advances of the organic–inorganic hybrid transistors and their applications in the artificial visual systems. Firstly, the basic principles of visual perception in human brain are briefly introduced. Subsequently, the commonly used inorganic channel and organic electrolyte materials are summarized in detail. The working principles of this kind of devices are introduced as well as their basic neuromorphic functions. More importantly, the emerging artificial visual applications are then introduced by using such devices, including visual memory, image processing, visual adaptation, and multimodal fusion. In the end, the current challenges and opportunities are discussed, and the promising research direction is also prospected.