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A novel semi-supervised meta learning method for subject-transfer brain–computer interface
Li, Jingcong, Wang, Fei, Huang, Haiyun, Qi, Feifei, Pan, Jiahui
Published in Neural networks (01.06.2023)
Published in Neural networks (01.06.2023)
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An efficient P300-based brain–computer interface for disabled subjects
Hoffmann, Ulrich, Vesin, Jean-Marc, Ebrahimi, Touradj, Diserens, Karin
Published in Journal of neuroscience methods (15.01.2008)
Published in Journal of neuroscience methods (15.01.2008)
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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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Subject-Independent Wearable P300 Brain-Computer Interface Based on Convolutional Neural Network and Metric Learning
Hu, Li, Gao, Wei, Lu, Zilin, Shan, Chun, Ma, Haiwei, Zhang, Wenyu, Li, Yuanqing
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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EEG datasets for motor imagery brain–computer interface
Cho, Hohyun, Ahn, Minkyu, Ahn, Sangtae, Kwon, Moonyoung, Jun, Sung Chan
Published in Gigascience (01.07.2017)
Published in Gigascience (01.07.2017)
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Improved motor imagery training for subject’s self-modulation in EEG-based brain-computer interface
Xu, Yilu, Jie, Lilin, Jian, Wenjuan, Yi, Wenlong, Yin, Hua, Peng, Yingqiong
Published in Frontiers in human neuroscience (26.08.2024)
Published in Frontiers in human neuroscience (26.08.2024)
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MIN2Net: End-to-End Multi-Task Learning for Subject-Independent Motor Imagery EEG Classification
Autthasan, Phairot, Chaisaen, Rattanaphon, Sudhawiyangkul, Thapanun, Rangpong, Phurin, Kiatthaveephong, Suktipol, Dilokthanakul, Nat, Bhakdisongkhram, Gun, Phan, Huy, Guan, Cuntai, Wilaiprasitporn, Theerawit
Published in IEEE transactions on biomedical engineering (01.06.2022)
Published in IEEE transactions on biomedical engineering (01.06.2022)
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Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition
Li, Jinpeng, Qiu, Shuang, Shen, Yuan-Yuan, Liu, Cheng-Lin, He, Huiguang
Published in IEEE transactions on cybernetics (01.07.2020)
Published in IEEE transactions on cybernetics (01.07.2020)
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Improving Performance of Motor Imagery-based Brain-computer Interface in Poorly Performing Subjects Using a Hybrid-imagery Method utilizing Combined Motor and Somatosensory Activity
Park, Sangin, Ha, Jihyeon, Kim, Laehyun
Published in IEEE transactions on neural systems and rehabilitation engineering (01.01.2023)
Published in IEEE transactions on neural systems and rehabilitation engineering (01.01.2023)
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The auditory P300-based single-switch brain–computer interface: Paradigm transition from healthy subjects to minimally conscious patients
Pokorny, Christoph, Klobassa, Daniela S., Pichler, Gerald, Erlbeck, Helena, Real, Ruben G.L., Kübler, Andrea, Lesenfants, Damien, Habbal, Dina, Noirhomme, Quentin, Risetti, Monica, Mattia, Donatella, Müller-Putz, Gernot R.
Published in Artificial intelligence in medicine (01.10.2013)
Published in Artificial intelligence in medicine (01.10.2013)
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Transferring a deep learning model from healthy subjects to stroke patients in a motor imagery brain–computer interface
Nagarajan, Aarthy, Robinson, Neethu, Ang, Kai Keng, Chua, Karen Sui Geok, Chew, Effie, Guan, Cuntai
Published in Journal of neural engineering (01.02.2024)
Published in Journal of neural engineering (01.02.2024)
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