神经形态工程学
计算机科学
灵活性(工程)
计算机体系结构
纳米材料
响应度
电子工程
纳米技术
材料科学
工程类
探测器
人工智能
人工神经网络
电信
统计
数学
出处
期刊:Royal Society of Chemistry eBooks
[The Royal Society of Chemistry]
日期:2023-10-09
卷期号:: 555-568
标识
DOI:10.1039/bk9781839169946-00555
摘要
Novel neuromorphic devices are the key foundation for building energy-efficient neuromorphic computing systems. High-performance neuromorphic optoelectronic sensors with ultra-high responsivity, detectivity and signal-to-noise ratios can simulate the functions of the human retina and have the characteristics of integrating optical sensing, information storage, and logical computing, while they have been also considered as important candidates for vision systems, which can solve the problems of phase difference, inflexibility and low integration under extremely dim conditions. Carbon nanomaterials provide a new strategy for the design and construction of neuromorphic vision sensors due to their excellent carrier mobility, good flexibility, and diverse conductive properties. This chapter will mainly introduce the research progress, main advantages and challenges of sensing–storage–computing integrated devices based on carbon nanomaterials towards novel neuromorphic vision systems and look forward to their future development.
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