A large dataset for VEP based brain-computer interfaces employing narrow-band code modulation and frequency-phase modulation

Li Zhenga Laboratory of Solid State Optoelectronics Information Technology, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, People’s Republic of ChinaView further author information

Sen Tianb Brain Machine Fusion Intelligence Institute, Suzhou, People’s Republic of ChinaView further author information

Yida Donga Laboratory of Solid State Optoelectronics Information Technology, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, People’s Republic of China;c School of Future Technology, University of Chinese Academy of Sciences, Beijing, People’s Republic of ChinaView further author information

Weihua Peia Laboratory of Solid State Optoelectronics Information Technology, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, People’s Republic of China;c School of Future Technology, University of Chinese Academy of Sciences, Beijing, People’s Republic of ChinaView further author information

Xiaorong Gaod Department of Biomedical Engineering, Tsinghua University, Beijing, People’s Republic of ChinaView further author information

Yijun Wanga Laboratory of Solid State Optoelectronics Information Technology, Institute of Semiconductors, Chinese Academy of Sciences, Beijing, People’s Republic of China;c School of Future Technology, University of Chinese Academy of Sciences, Beijing, People’s Republic of China;e Chinese Institute for Brain Research, Beijing, People’s Republic of ChinaCorrespondence[email protected]
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A large dataset for VEP based brain-computer interfaces employing narrow-band code modulation and frequency-phase modulation

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A large dataset for VEP based brain-computer interfaces employing narrow-band code modulation and frequency-phase modulation

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