Tao Zhang (张涛16)
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Efficient resting-state EEG network facilitates motor imagery performance
R Zhang, D Yao, PA Valdés-Sosa, F Li, P Li, T Zhang, T Ma, Y Li, P Xu
Journal of neural engineering 12 (6), 066024, 2015
Structural and functional correlates of motor imagery BCI performance: Insights from the patterns of fronto-parietal attention network
T Zhang, T Liu, F Li, M Li, D Liu, R Zhang, H He, P Li, J Gong, C Luo, ...
Neuroimage 134, 475-485, 2016
Predicting inter-session performance of SMR-based brain–computer interface using the spectral entropy of resting-state EEG
R Zhang, P Xu, R Chen, F Li, L Guo, P Li, T Zhang, D Yao
Brain topography 28 (5), 680-690, 2015
The time-varying networks in P300: a task-evoked EEG study
F Li, B Chen, H Li, T Zhang, F Wang, Y Jiang, P Li, T Ma, R Zhang, Y Tian, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering 24 (7 …, 2016
The dynamic brain networks of motor imagery: time-varying causality analysis of scalp EEG
F Li, W Peng, Y Jiang, L Song, Y Liao, C Yi, L Zhang, Y Si, T Zhang, ...
International journal of neural systems 29 (01), 1850016, 2019
Multivariate empirical mode decomposition based sub-frequency bands analysis of the default mode network: a resting-state fMRI data study
T Zhang, P Xu, L Guo, R Chen, R Zhang, H He, Q Xie, T Liu, C Luo, D Yao
Applied Informatics 2 (1), 2, 2015
Different decision-making responses occupy different brain networks for information processing: a study based on EEG and TMS
Y Si, X Wu, F Li, L Zhang, K Duan, P Li, L Song, Y Jiang, T Zhang, ...
Cerebral Cortex 29 (10), 4119-4129, 2019
Noise-assisted multivariate empirical mode decomposition for multichannel EMG signals
Y Zhang, P Xu, P Li, K Duan, Y Wen, Q Yang, T Zhang, D Yao
Biomedical engineering online 16 (1), 107, 2017
Brain network reconfiguration during motor imagery revealed by a large-scale network analysis of scalp EEG
F Li, C Yi, L Song, Y Jiang, W Peng, Y Si, T Zhang, R Zhang, D Yao, ...
Brain topography 32 (2), 304-314, 2019
Dietary Probiotic Bacillus licheniformis H2 Enhanced Growth Performance, Morphology of Small Intestine and Liver, and Antioxidant Capacity of Broiler Chickens Against …
Y Zhao, D Zeng, H Wang, X Qing, N Sun, J Xin, M Luo, A Khalique, K Pan, ...
Probiotics and Antimicrobial Proteins, 1-13, 2019
Robust Granger Analysis in Lp Norm Space for Directed EEG Network Analysis
PY Li, X Huang, F Li, X Wang, W Zhou, H Liu, T Ma, T Zhang, D Guo, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017
Reconfiguration patterns of large-scale brain networks in motor imagery
T Zhang, F Wang, M Li, F Li, Y Tan, Y Zhang, H Yang, B Biswal, D Yao, ...
Brain Structure and Function 224 (2), 553-566, 2019
Ensemble deep learning for automated visual classification using EEG signals
X Zheng, W Chen, Y You, Y Jiang, M Li, T Zhang
Pattern Recognition 102, 107147, 2020
Cortical Dynamic Causality Network for Auditory-Motor Tasks
T Liu, F Li, Y Jiang, T Zhang, F Wang, D Gong, P Li, T Ma, K Qiu, H Li, ...
IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2017
Decoding human brain activity with deep learning
X Zheng, W Chen, M Li, T Zhang, Y You, Y Jiang
Biomedical Signal Processing and Control 56, 101730, 2020
张军, 王茂芝, 陈聆, 张涛
四川理工学院学报: 自然科学版 25 (3), 43-46, 2012
Automatic focal and non-focal EEG detection using entropy-based features from flexible analytic wavelet transform
Y You, W Chen, M Li, T Zhang, Y Jiang, X Zheng
Biomedical Signal Processing and Control 57, 101761, 2020
Inter-subject P300 variability relates to the efficiency of brain networks reconfigured from resting-to task-state: Evidence from a simultaneous event-related EEG-fMRI study
F Li, Q Tao, W Peng, T Zhang, Y Si, Y Zhang, C Yi, B Biswal, D Yao, P Xu
NeuroImage 205, 116285, 2020
The time-varying network patterns in motor imagery revealed by adaptive directed transfer function analysis for fMRI
T Zhang, M Li, L Zhang, B Biswal, D Yao, P Xu
IEEE Access 6, 60339-60352, 2018
安素珍, 王茂芝, 张涛, 崔会丽
四川理工学院学报: 自然科学版 25 (4), 59-63, 2012
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