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ICaps-ResLSTM: Improved capsule network and residual LSTM for EEG emotion recognition
期刊论文
BIOMEDICAL SIGNAL PROCESSING AND CONTROL, 2024, 卷号: 87, 页码: 9
作者:
Fan, Cunhang
;
Xie, Heng
;
Tao, Jianhua
;
Li, Yongwei
;
Pei, Guanxiong
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2023/11/15
Electroencephalogram
Emotion recognition
Capsule network
Residual Long-Short Term Memory
A learnable EEG channel selection method for MI-BCI using efficient channel attention
期刊论文
FRONTIERS IN NEUROSCIENCE, 2023, 卷号: 17, 页码: 13
作者:
Tong, Lina
;
Qian, Yihui
;
Peng, Liang
;
Wang, Chen
;
Hou, Zeng-Guang
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/12/21
brain-computer interface
motor imagery
channel selection
deep learning
attention mechanism
Generalization Across Subjects and Sessions for EEG-based Emotion Recognition Using Multi-source Attention-based Dynamic Residual Transfer
会议论文
Gold Coast Convention and Exhibition Centre Queensland, Australia, 2023-06-18
作者:
Wanqing Jiang
;
Gaofeng Meng
;
Tianzi Jiang
;
Nianming Zuo
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/06/20
Electroencephalogram (EEG), emotion recognition, multi-source domain adaptation, subject-independent
Multimodal Affective States Recognition Based on Multiscale CNNs and Biologically Inspired Decision Fusion Model
期刊论文
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2023, 卷号: 14, 期号: 2, 页码: 1391-1403
作者:
Zhao, Yuxuan
;
Cao, Xinyan
;
Lin, Jinlong
;
Yu, Dunshan
;
Cao, Xixin
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2023/11/17
Physiology
Brain modeling
Feature extraction
Electroencephalography
Biological system modeling
Convolution
Reliability
Multimodal affective states recognition
convolutional neural network
decision fusion model
physiological signals
Multimodal motor imagery decoding method based on temporal spatial feature alignment and fusion
期刊论文
Journal of Neural Engineering, 2023, 卷号: 20, 期号: 2
作者:
Zhang,Yukun
;
Qiu,Shuang
;
He,Huiguang
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2023/05/31
brain-computer interface
motor imagery
multimodal
EEG-fNIRS
center loss
Adaptive and Maladaptive Brain Functional Network Reorganization After Stroke in Hemianopia Patients: An Electroencephalogram-Tracking Study
期刊论文
Brain Connect, 2022, 卷号: 12, 期号: 8, 页码: 725-739
作者:
Jiahua Xu
;
Mircea Ariel Schoenfeld
;
Paolo M. Rossini
;
Turgut Tatlisumak
;
Andreas Nürnberger
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2023/01/17
brain connectivity
brain connectome
brain network reorganization
occipital stroke
plasticity
stroke
visual cortex
visual field
visio
VigilanceNet: Decouple Intra- and Inter-Modality Learning for Multimodal Vigilance Estimation in RSVP-Based BCI
会议论文
Lisboa, Portugal, 2022-10-10
作者:
Cheng XY(程昕钰)
;
Wei W(魏玮)
;
Du CD(杜长德)
;
Qiu S(邱爽)
;
Tian SL(田三力)
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/05/31
Vigilance Estimation
Multimodal
EEG
EOG
Rapid Serial Visual Presentation
Brain mechanisms underlying the influence of emotions on spatial decision-making: An EEG study
期刊论文
FRONTIERS IN NEUROSCIENCE, 2022, 卷号: 16, 页码: 16
作者:
Zhao, Yanyan
;
Wang, Danli
;
Wang, Xinyuan
;
Chiu, Steve C. C.
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/11/14
emotion
decision-making
spatial task
electroencephalography (EEG)
microstate analysis
effective connectivity analysis
graph theoretical analysis
event-related potentials (ERP)
Investigate the Neuro Mechanisms of Stereoscopic Visual Fatigue
期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2022, 卷号: 26, 期号: 7, 页码: 2963-2973
作者:
Yue, Kang
;
Guo, Mei
;
Liu, Yue
;
Hu, Haochen
;
Lu, Kai
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2022/07/25
Visualization
Electroencephalography
Fatigue
Stereo image processing
Shape
Task analysis
Electrodes
Depth perception
depth-related visual evoked potential
self-awareness
stereoscopic visual fatigue
virtual reality
Neural Correlates of Single-Task Versus Cognitive-Motor Dual-Task Training
期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2022, 卷号: 14, 期号: 2, 页码: 532-540
作者:
Wang, Jiaxing
;
Wang, Weiqun
;
Ren, Shixin
;
Shi, Weiguo
;
Hou, Zeng-Guang
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/07/25
Cognitive-motor dual-task training (CMDT)
engagement
event-related (de-)synchronization (ERD/ERS)
focus of attention (FOA)
single-cognitive/motor-task training (SCT/SMT)
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