A flexible ultrasensitive optoelectronic sensor array for neuromorphic vision systems | |
Zhu, Qian-Bing1,2; Li, Bo1,2; Yang, Dan-Dan3; Liu, Chi1; Feng, Shun1,4; Chen, Mao-Lin1; Sun, Yun1; Tian, Ya-Nan5; Su, Xin6; Wang, Xiao-Mu6; Qiu, Song7; Li, Qing-Wen7; Li, Xiao-Ming3; Zeng, Hai-Bo3; Cheng, Hui-Ming1,2,8; Sun, Dong-Ming1,2 | |
Corresponding Author | Qiu, Song(sqiu2010@sinano.ac.cn) ; Li, Xiao-Ming(lixiaoming@njust.edu.cn) ; Cheng, Hui-Ming(cheng@imr.ac.cn) ; Sun, Dong-Ming(dmsun@imr.ac.cn) |
2021-03-19 | |
Source Publication | NATURE COMMUNICATIONS
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ISSN | 2041-1723 |
Volume | 12Issue:1Pages:7 |
Abstract | The challenges of developing neuromorphic vision systems inspired by the human eye come not only from how to recreate the flexibility, sophistication, and adaptability of animal systems, but also how to do so with computational efficiency and elegance. Similar to biological systems, these neuromorphic circuits integrate functions of image sensing, memory and processing into the device, and process continuous analog brightness signal in real-time. High-integration, flexibility and ultra-sensitivity are essential for practical artificial vision systems that attempt to emulate biological processing. Here, we present a flexible optoelectronic sensor array of 1024 pixels using a combination of carbon nanotubes and perovskite quantum dots as active materials for an efficient neuromorphic vision system. The device has an extraordinary sensitivity to light with a responsivity of 5.1x10(7)A/W and a specific detectivity of 2x10(16) Jones, and demonstrates neuromorphic reinforcement learning by training the sensor array with a weak light pulse of 1 mu W/cm(2). To emulate nature biological processing, highly-integrated ultra-sensitive artificial neuromorphic system is highly desirable. Here, the authors report flexible sensor array of 1024 pixels using combination of carbon nanotubes and perovskite QDs as active matetials, achieving highly responsive device for reinforcement learning. |
Funding Organization | National Key Research and Development Program of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Key Research Program of Frontier Sciences of the Chinese Academy of Sciences ; Liaoning Revitalization Talents Program ; Thousand Talent Program for Young Outstanding Scientists, Key-Area Research and Development Program of Guangdong Province ; Shandong Natural Science Foundation of China ; Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences ; State Key Laboratory of Luminescence and Applications, Chinese Academy of Sciences |
DOI | 10.1038/s41467-021-22047-w |
Indexed By | SCI |
Language | 英语 |
Funding Project | National Key Research and Development Program of China[2020YFA0714702] ; National Key Research and Development Program of China[2016YFB041104] ; National Natural Science Foundation of China[61574143] ; National Natural Science Foundation of China[51532008] ; National Natural Science Foundation of China[61704175] ; National Natural Science Foundation of China[51502304] ; National Natural Science Foundation of China[22075312] ; National Natural Science Foundation of China[21773292] ; National Natural Science Foundation of China[61874054] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDB30000000] ; Key Research Program of Frontier Sciences of the Chinese Academy of Sciences[ZDBS-LY-JSC027] ; Key Research Program of Frontier Sciences of the Chinese Academy of Sciences[QYZDB-SSW-SLH031] ; Liaoning Revitalization Talents Program[XLYC1807109] ; Thousand Talent Program for Young Outstanding Scientists, Key-Area Research and Development Program of Guangdong Province[2019B010934001] ; Shandong Natural Science Foundation of China[ZR2019ZD49] ; Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences ; State Key Laboratory of Luminescence and Applications, Chinese Academy of Sciences[L2019F28] ; State Key Laboratory of Luminescence and Applications, Chinese Academy of Sciences[SKLA-2019-03] |
WOS Research Area | Science & Technology - Other Topics |
WOS Subject | Multidisciplinary Sciences |
WOS ID | WOS:000631934900001 |
Publisher | NATURE RESEARCH |
Citation statistics | |
Document Type | 期刊论文 |
Identifier | http://ir.imr.ac.cn/handle/321006/161497 |
Collection | 中国科学院金属研究所 |
Corresponding Author | Qiu, Song; Li, Xiao-Ming; Cheng, Hui-Ming; Sun, Dong-Ming |
Affiliation | 1.Chinese Acad Sci, Inst Met Res, Shenyang Natl Lab Mat Sci, Shenyang, Peoples R China 2.Univ Sci & Technol China, Sch Mat Sci & Engn, Hefei, Peoples R China 3.Nanjing Univ Sci & Technol, Coll Mat Sci & Engn, Nanjing, Peoples R China 4.ShanghaiTech Univ, Sch Phys Sci & Technol, Shanghai, Peoples R China 5.Northeastern Univ, Coll Informat Sci & Engn, Shenyang, Peoples R China 6.Nanjing Univ, Sch Elect Sci & Engn, Nanjing, Peoples R China 7.Chinese Acad Sci, Suzhou Inst Nanotech & Nanobion, Suzhou, Peoples R China 8.Tsinghua Univ, Tsinghua Berkeley Shenzhen Inst, Shenzhen, Peoples R China |
Recommended Citation GB/T 7714 | Zhu, Qian-Bing,Li, Bo,Yang, Dan-Dan,et al. A flexible ultrasensitive optoelectronic sensor array for neuromorphic vision systems[J]. NATURE COMMUNICATIONS,2021,12(1):7. |
APA | Zhu, Qian-Bing.,Li, Bo.,Yang, Dan-Dan.,Liu, Chi.,Feng, Shun.,...&Sun, Dong-Ming.(2021).A flexible ultrasensitive optoelectronic sensor array for neuromorphic vision systems.NATURE COMMUNICATIONS,12(1),7. |
MLA | Zhu, Qian-Bing,et al."A flexible ultrasensitive optoelectronic sensor array for neuromorphic vision systems".NATURE COMMUNICATIONS 12.1(2021):7. |
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