CASIA OpenIR  > 国家专用集成电路设计工程技术研究中心  > 实感计算
Real-time analysis of large-scale neuronal imaging enables closed-loop investigation of neural dynamics
Shang Chun feng1,3,6,8; Wang Yu fan1,4,8; Zhao Mei ting2,7,8; Fan Qiu xiang2,7; Zhao Shan1,4; Qian Yu1; Xu Sheng jin1,4; Mu Yu1,4; Hao Jie2,4,7; Du Jiu lin1,4,5
Source Publicationnature neuroscience
ISSN1097-6256
2024-03-11
Pages1-5
Corresponding AuthorMu, Yu(my@ion.ac.cn) ; Hao, Jie(jie.hao@ia.ac.cn) ; Du, Jiu-Lin(forestdu@ion.ac.cn)
Abstract

Large-scale imaging of neuronal activities is crucial for understanding brain functions. However, it is challenging to analyze large-scale imaging data in real time, preventing closed-loop investigation of neural circuitry. Here we develop a real-time analysis system with a field programmable gate array–graphics processing unit design for an up to 500-megabyte-per-second image stream. Adapted to whole-brain imaging of awake larval zebrafish, the system timely extracts activity from up to 100,000 neurons and enables closed-loop perturbations of neural dynamics.

DOI10.1038/s41593-024-01595-6
WOS KeywordBRAIN ; LIGHT
Indexed BySCI
Language英语
Funding ProjectMinistry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology)[2021ZD0204500] ; Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology)[2021ZD0204502] ; Ministry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology)[2021ZD0203704] ; National Science and Technology Innovation 2030 Major Program of the Ministry of Science and Technology[32321003] ; Creative Research Groups[20200813170229001] ; National Natural Science Foundation of China[2021YFF0502900] ; National Key Basic Research Program of China[QYZDYSSW-SMC028] ; Key Research Program of Frontier Sciences[XDB32000000] ; Strategic Priority Research Program ; Chinese Academy of Sciences[18JC1410100] ; Chinese Academy of Sciences[2018SHZDZX05] ; Chinese Academy of Sciences[32070982] ; Chinese Academy of Sciences[32171026] ; Shanghai Municipal Science and Technology Major Project ; Science, Technology and Innovation Commission of Shenzhen Municipality[YJKYYQ20210029] ; Scientific Instrument Developing Project of the Chinese Academy of Sciences
Funding OrganizationMinistry of Science and Technology of the People's Republic of China (Chinese Ministry of Science and Technology) ; National Science and Technology Innovation 2030 Major Program of the Ministry of Science and Technology ; Creative Research Groups ; National Natural Science Foundation of China ; National Key Basic Research Program of China ; Key Research Program of Frontier Sciences ; Strategic Priority Research Program ; Chinese Academy of Sciences ; Shanghai Municipal Science and Technology Major Project ; Science, Technology and Innovation Commission of Shenzhen Municipality ; Scientific Instrument Developing Project of the Chinese Academy of Sciences
WOS Research AreaNeurosciences & Neurology
WOS SubjectNeurosciences
WOS IDWOS:001182256600001
PublisherNATURE PORTFOLIO
IS Representative Paper
Sub direction classification脑机接口
planning direction of the national heavy laboratory智能计算与学习
Paper associated data
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/57369
Collection国家专用集成电路设计工程技术研究中心_实感计算
Corresponding AuthorMu Yu; Hao Jie; Du Jiu lin
Affiliation1.Institute of Neuroscience, State Key Laboratory of Neuroscience, Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China.
2.Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China.
3.Guangdong-Hongkong-Macau Institute of CNS Regeneration, Ministry of Education CNS Regeneration Collaborative Joint Laboratory, Jinan University, Guangzhou 510632, China.
4.University of Chinese Academy of Sciences, Beijing 100049, China
5.School of Life Science and Technology, ShanghaiTech University, Shanghai 200031, China.
6.Shenzhen Institute of Neuroscience, Shenzhen 518057, China.
7.Guangdong Institute of Artificial Intelligence and Advanced Computing, Guangzhou 510700, China.
8.These authors contributed equally
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Shang Chun feng,Wang Yu fan,Zhao Mei ting,et al. Real-time analysis of large-scale neuronal imaging enables closed-loop investigation of neural dynamics[J]. nature neuroscience,2024:1-5.
APA Shang Chun feng.,Wang Yu fan.,Zhao Mei ting.,Fan Qiu xiang.,Zhao Shan.,...&Du Jiu lin.(2024).Real-time analysis of large-scale neuronal imaging enables closed-loop investigation of neural dynamics.nature neuroscience,1-5.
MLA Shang Chun feng,et al."Real-time analysis of large-scale neuronal imaging enables closed-loop investigation of neural dynamics".nature neuroscience (2024):1-5.
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