相关实验视频

Updated: Feb 5, 2026

Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data
09:09

Cortical Actin Flow in T Cells Quantified by Spatio-temporal Image Correlation Spectroscopy of Structured Illumination Microscopy Data

Published on: December 17, 2015

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图表增强的双低级相关嵌入用于时空EEG融合在低压识别的空间时间EEG融合

Lu Zhang1, Jisheng Dang1, Shu Zhang1

  • 1Gansu Provincial Key Laboratory of Wearable Computing, School of Information Science and Engineering, Lanzhou University, Lanzhou, 730000, China.

Neural networks : the official journal of the International Neural Network Society
|February 3, 2026
PubMed
概括

这项研究引入了一种新的方法,即图增强双低等级相关嵌入 (GEDLCE),用于结合来自脑电图 (EEG) 信号的时空特征,以更好地识别抑郁症. 这种方法显著提高了从大脑活动数据中识别抑郁症的准确性.

关键词:
规范性相关性分析 (CCA)抑郁症的识别方式电脑电图 (EEG) 是一个电脑电图.低级别的代表 (LRR)时空特征是一个时空特征.亚空间学习是指子空间学习.

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Author Spotlight: Advancements in Correlative Light and Electron Microscopy with Fluorescent Protein Preservation08:47

Author Spotlight: Advancements in Correlative Light and Electron Microscopy with Fluorescent Protein Preservation

Published on: January 12, 2024

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A Label-free Technique for the Spatio-temporal Imaging of Single Cell Secretions09:09

A Label-free Technique for the Spatio-temporal Imaging of Single Cell Secretions

Published on: November 23, 2015

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