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Brain Informatics
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March 19, 2022
A dynamic directed transfer function for brain functional network-based feature extraction
Mingai Li, Na Zhang
Journal of Neuroscience Methods
|
February 8, 2026
TPCNet: A Temporal Periodicity Convolutional Network for motor imagery EEG decoding in stroke patients
Junhui Wang, Mingai Li
Entropy (Basel, Switzerland)
|
December 3, 2020
An Improved Composite Multiscale Fuzzy Entropy for Feature Extraction of MI-EEG
Mingai Li, Ruotu Wang, Dongqin Xu
Plants (Basel, Switzerland)
|
April 15, 2020
Shoot Characterization of Isoprene and Ocimene-Emitting Transgenic <i>Arabidopsis</i> Plants under Contrasting Environmental Conditions
Michele Faralli, Mingai Li, Claudio Varotto
Brain Sciences
|
February 26, 2025
Generative Diffusion-Based Task Incremental Learning Method for Decoding Motor Imagery EEG
Yufei Yang, Mingai Li, Jianhang Liu
Medical & Biological Engineering & Computing
|
June 9, 2023
Recognize enhanced temporal-spatial-spectral features with a parallel multi-branch CNN and GRU
Linlin Wang, Mingai Li, Liyuan Zhang
Medical & Biological Engineering & Computing
|
November 29, 2024
An adaptive session-incremental broad learning system for continuous motor imagery EEG classification
Yufei Yang, Mingai Li, Linlin Wang
Computational Intelligence and Neuroscience
|
June 14, 2019
An Incremental Version of L-MVU for the Feature Extraction of MI-EEG
Mingai Li, Hongwei Xi, Xiaoqing Zhu
Brain Informatics
|
August 15, 2025
Motor imagery decoding network with multisubject dynamic transfer
Zhi Li, Mingai Li, Yufei Yang
Medical & Biological Engineering & Computing
|
January 31, 2023
Applying correlation analysis to electrode optimization in source domain
Yuxin Dong, Linlin Wang, Mingai Li
Page
of 5
Search research articles
Search
Showing results (1-10 of 49) with videos related to
Sort By:
Page
of 5
Brain Informatics
|
March 19, 2022
A dynamic directed transfer function for brain functional network-based feature extraction
Mingai Li, Na Zhang
Journal of Neuroscience Methods
|
February 8, 2026
TPCNet: A Temporal Periodicity Convolutional Network for motor imagery EEG decoding in stroke patients
Junhui Wang, Mingai Li
Entropy (Basel, Switzerland)
|
December 3, 2020
An Improved Composite Multiscale Fuzzy Entropy for Feature Extraction of MI-EEG
Mingai Li, Ruotu Wang, Dongqin Xu
Plants (Basel, Switzerland)
|
April 15, 2020
Shoot Characterization of Isoprene and Ocimene-Emitting Transgenic <i>Arabidopsis</i> Plants under Contrasting Environmental Conditions
Michele Faralli, Mingai Li, Claudio Varotto
Brain Sciences
|
February 26, 2025
Generative Diffusion-Based Task Incremental Learning Method for Decoding Motor Imagery EEG
Yufei Yang, Mingai Li, Jianhang Liu
Medical & Biological Engineering & Computing
|
June 9, 2023
Recognize enhanced temporal-spatial-spectral features with a parallel multi-branch CNN and GRU
Linlin Wang, Mingai Li, Liyuan Zhang
Medical & Biological Engineering & Computing
|
November 29, 2024
An adaptive session-incremental broad learning system for continuous motor imagery EEG classification
Yufei Yang, Mingai Li, Linlin Wang
Computational Intelligence and Neuroscience
|
June 14, 2019
An Incremental Version of L-MVU for the Feature Extraction of MI-EEG
Mingai Li, Hongwei Xi, Xiaoqing Zhu
Brain Informatics
|
August 15, 2025
Motor imagery decoding network with multisubject dynamic transfer
Zhi Li, Mingai Li, Yufei Yang
Medical & Biological Engineering & Computing
|
January 31, 2023
Applying correlation analysis to electrode optimization in source domain
Yuxin Dong, Linlin Wang, Mingai Li
Page
of 5