神经形态工程学
材料科学
神经科学
平衡
嗅觉系统
嗅觉
建筑
纳米技术
计算机体系结构
计算机科学
人工智能
人工神经网络
生物
细胞生物学
艺术
视觉艺术
作者
Youngwoo Jang,Jae Hyun Kim,Jae‐Won Shin,Jeong‐Wan Jo,Jong Wook Shin,Yong‐Hoon Kim,Sung Woon Cho,Sung Kyu Park
标识
DOI:10.1002/adma.202400614
摘要
Abstract Neuromorphic olfactory systems have been actively studied in recent years owing to their considerable potential in electronic noses, robotics, and neuromorphic data processing systems. However, conventional gas sensors typically have the ability to detect hazardous gas levels but lack synaptic functions such as memory and recognition of gas accumulation, which are essential for realizing human‐like neuromorphic sensory system. In this study, we propose a seamless architecture for a neuromorphic olfactory system capable of detecting and memorizing the present level and accumulation status of nitrogen dioxide (NO 2 ) during continuous gas exposure, regulating a self‐alarm implementation triggered after 147 and 85 s at a continuous gas exposure of 20 and 40 ppm, respectively. Thin‐film‐transistor type gas sensors utilizing carbon nanotube semiconductors detect NO 2 gas molecules through carrier trapping and exhibit long‐term retention properties, which are compatible with neuromorphic excitatory applications. Additionally, the neuromorphic inhibitory performance was also characterized via gas desorption with programmable ultraviolet light exposure, demonstrating homeostasis recovery. These results provide a promising strategy for developing a facile artificial olfactory system that demonstrates complicated biological synaptic functions with a seamless and simplified system architecture. This article is protected by copyright. All rights reserved
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