Neuromorphic display system for intelligent display. (April 2022)

• Record Type: Journal Article
• Authors: Chen, Qizhen; Zhang, Xianghong; Liu, Yaqian; Yan, Yujie; Yu, Rengjian; Wang, Xiumei; Lin, Zenan; Zeng, Huaan; Liu, Lujian; Chen, Huipeng; Guo, Tailiang
• Is Part Of: Nano energy. Volume 94(2022)
• Publication Date: 2022-04
• Subjects: Neuromorphic display -- Triboelectric nanogenerators -- Synaptic transistors -- QLED; Nanoscience -- Periodicals; Nanotechnology -- Periodicals; Nanostructured materials -- Periodicals; Power resources -- Technological innovations -- Periodicals; Nanoscience; Nanostructured materials; Nanotechnology; Power resources -- Technological innovations; Periodicals; 621.042
• DOI: 10.1016/j.nanoen.2022.106931
• Languages: English
• ISSNs: 2211-2855

Abstract

Abstract: Ultra-high integration, ultra-high resolution, intelligence and human-machine interaction is the inevitable trend of flat panel displays. However, most intelligent display systems are based on traditional Von Neumann architecture, which need to call data frequently because the storage and computation are separated, resulting in serious loss of power consumption and speed. In this paper, the concept of "neuromorphic display" device is proposed for the first time. The display technology is organically combined with the artificial neural network system to build a neuromorphic display network including the sensor module, processing module and display module, which endows the tiny artificial neural network system with the ability of perception, dispose and execution. The neuromorphic display enable to avoid serious loss of power consumption and speed without calling data frequently, and the color of the emitted light directly represents the result of neuromorphic display's perception and processing of various external environment haptic stimuli. Furthermore, the neuromorphic element is applied in display that one-transistor one-synaptic transistor (1T1S) pixel circuit is demonstrated to replace two-transistor one-capacitance (2T1C) pixel circuit in traditional display to simplify pixel circuit. Therefore, the neuromorphic display showed great potentials in interactive input/control devices, intelligent wallpaper, robots and medical/health monitoring devices, and the 1T1S pixel circuit can simplify circuit design for active matrix display. Graphical Abstract: ga1 Highlights: The neuromorphic display which combines display technology with artificial neural network system is proposed. The basic unit of neuromorphic display consists of TENG as sensor, synaptic transistors as processor and QLED as pixel. The color of QLED represents the result of neuromorphic display's perception and processing of external environment stimulis. The neuromorphic element is applied in pixel circuit to replace two-transistor one-capacitance pixel circuit.