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Deep Multiview Module Adaption Transfer Network for Subject-Specific EEG Recognition
Cui, Weigang, Xiang, Yansong, Wang, Yifan, Yu, Tao, Liao, Xiao-Feng, Hu, Bin, Li, Yang
Published in IEEE transaction on neural networks and learning systems (01.02.2025)
Published in IEEE transaction on neural networks and learning systems (01.02.2025)
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Adaptive transfer learning for EEG motor imagery classification with deep Convolutional Neural Network
Zhang, Kaishuo, Robinson, Neethu, Lee, Seong-Whan, Guan, Cuntai
Published in Neural networks (01.04.2021)
Published in Neural networks (01.04.2021)
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TFTL: A Task-Free Transfer Learning Strategy for EEG-Based Cross-Subject and Cross-Dataset Motor Imagery BCI
Wang, Yihan, Wang, Jiaxing, Wang, Weiqun, Su, Jianqiang, Bunterngchit, Chayut, Hou, Zeng-Guang
Published in IEEE transactions on biomedical engineering (01.02.2025)
Published in IEEE transactions on biomedical engineering (01.02.2025)
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heterogeneity of mental representation: Ending the imagery debate
Pearson, Joel, Stephen M. Kosslyn
Published in Proceedings of the National Academy of Sciences - PNAS (18.08.2015)
Published in Proceedings of the National Academy of Sciences - PNAS (18.08.2015)
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Compact convolutional transformer for subject-independent motor imagery EEG-based BCIs
Keutayeva, Aigerim, Fakhrutdinov, Nail, Abibullaev, Berdakh
Published in Scientific reports (28.10.2024)
Published in Scientific reports (28.10.2024)
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HS-CNN: a CNN with hybrid convolution scale for EEG motor imagery classification
Dai, Guanghai, Zhou, Jun, Huang, Jiahui, Wang, Ning
Published in Journal of neural engineering (06.01.2020)
Published in Journal of neural engineering (06.01.2020)
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Multi-Task Heterogeneous Ensemble Learning-Based Cross-Subject EEG Classification Under Stroke Patients
Lee, Minji, Park, Hyeong-Yeong, Park, Wanjoo, Kim, Keun-Tae, Kim, Yun-Hee, Jeong, Ji-Hoon
Published in IEEE transactions on neural systems and rehabilitation engineering (2024)
Published in IEEE transactions on neural systems and rehabilitation engineering (2024)
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Motor Imagery and Action Observation Induced Electroencephalographic Activations to Guide Subject-Specific Training Paradigm: A Pilot Study
Wang, Zhongpeng, Yang, Lu, Wang, Mengya, Zhou, Yijie, Chen, Long, Gu, Bin, Liu, Shuang, Xu, Minpeng, He, Feng, Ming, Dong
Published in IEEE transactions on neural systems and rehabilitation engineering (2023)
Published in IEEE transactions on neural systems and rehabilitation engineering (2023)
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Enhancing EEG-Based MI-BCIs with Class-Specific and Subject-Specific Features Detected by Neural Manifold Analysis
Frosolone, Mirco, Prevete, Roberto, Ognibeni, Lorenzo, Giugliano, Salvatore, Apicella, Andrea, Pezzulo, Giovanni, Donnarumma, Francesco
Published in Sensors (Basel, Switzerland) (01.09.2024)
Published in Sensors (Basel, Switzerland) (01.09.2024)
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The Berlin Brain-Computer Interface: Accurate performance from first-session in BCI-naive subjects
Blankertz, Benjamin, Losch, Florian, Krauledat, Matthias, Dornhege, Guido, Curio, Gabriel, Muller, Klaus-Robert
Published in IEEE transactions on biomedical engineering (01.10.2008)
Published in IEEE transactions on biomedical engineering (01.10.2008)
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Distinct and additive effects of visual and vibratory feedback for motor rehabilitation: an EEG study in healthy subjects
Adham, Ahmed, Bessaguet, Hugo, Struber, Lucas, Rimaud, Diana, Ojardias, Etienne, Giraux, Pascal
Published in Journal of neuroengineering and rehabilitation (12.09.2024)
Published in Journal of neuroengineering and rehabilitation (12.09.2024)
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