萃取(化学)
计算机科学
人工智能
分解
估计
模式识别(心理学)
工程类
化学
色谱法
有机化学
系统工程
作者
Peixian Zhuang,Jiangyun Li,Qing Li,Lei Cai,Sam Kwong
出处
期刊:IEEE transactions on cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2024-08-06
卷期号:54 (10): 5938-5951
被引量:2
标识
DOI:10.1109/tcyb.2024.3430369
摘要
The extraction of spatiotemporal neuron activity from calcium imaging videos plays a crucial role in unraveling the coding properties of neurons. While existing neuron extraction approaches have shown promising results, disturbing and scattering background and unused depth still impede their performance. To address these limitations, we develop an automatic and accurate neuron extraction paradigm, dubbed as decomposition-estimation-reconstruction (DER), consisting of D-procedure, E-procedure, and R-procedure. Specifically, the D-procedure first decomposes the raw data into a low-rank background and a sparse neuron signal, and regularizes L
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