信号从噪声中显现出来。
A signal EMerGes from the noise.
机构信息
Laboratory for Circuit & Behavioral Physiology, RIKEN Center for Brain Science, 2-1 Hirosawa, Wako-shi, Saitama, Japan.
出版信息
Cell Rep Methods. 2023 Jun 26;3(6):100510. doi: 10.1016/j.crmeth.2023.100510.
Abstract
In this issue of , Osanai et al. report an innovative approach to extract an electromyography (EMG) signal from multi-channel local field potential (LFP) recordings using independent component analysis (ICA). This ICA-based approach offers precise and stable long-term behavioral assessment, eliminating the need for direct muscular recordings.
摘要
在本期 中，Osanai 等人报告了一种创新的方法，即使用独立成分分析（ICA）从多通道局部场电位（LFP）记录中提取肌电图（EMG）信号。这种基于 ICA 的方法提供了精确和稳定的长期行为评估，无需进行直接的肌肉记录。
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