Bidirectional Photovoltage-Driven Oxide Transistors for Neuromorphic Visual Sensors

Bibliographische Detailangaben
Veröffentlicht in:	Advanced materials (Deerfield Beach, Fla.). - 1998. - (2024) vom: 28. Okt., Seite e2410398
1. Verfasser:	Jin, Chenxing (VerfasserIn)
Weitere Verfasser:	Wang, Jingwen, Yang, Shenglan, Ding, Yang, Chang, Jianhui, Liu, Wanrong, Xu, Yunchao, Shi, Xiaofang, Xie, Pengshan, Ho, Johnny C, Wan, Changjin, Zheng, Zijian, Sun, Jia, Liao, Lei, Yang, Junliang
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2024
Zugriff auf das übergeordnete Werk:	Advanced materials (Deerfield Beach, Fla.)
Schlagworte:	Journal Article dynamic color recognition motion detection neuromorphic visual sensor photovoltage‐driven oxide transistors

Beschreibung
Zusammenfassung:	© 2024 Wiley‐VCH GmbH. Biological vision is one of the most important parts of the human perception system. However, emulating biological visuals is challenging because it requires complementary photoexcitation and photoinhibition. Here, the study presents a bidirectional photovoltage-driven neuromorphic visual sensor (BPNVS) that is constructed by monolithically integrating two perovskite solar cells (PSCs) with dual-gate ion-gel-gated oxide transistors. PSCs act as photoreceptors, converting external visual stimuli into electrical signals, whereas oxide transistors generate neuromorphic signal outputs that can be adjusted to produce positive and negative photoresponses. This device mimics the human vision system's ability to recognize colored and color-mixed patterns. The device achieves a static color recognition accuracy of 96% by utilizing the reservoir computing system for feature extraction. The BPNVS mem-reservoir chip is also proposed for handing object movement and dynamic color recognition. This work is a significant step forward in neuromorphic sensing and complex pattern recognition
Beschreibung:	Date Revised 28.10.2024 published: Print-Electronic Citation Status Publisher
ISSN:	1521-4095
DOI:	10.1002/adma.202410398