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Shangkai Gao

Institute of Neural Engineering, Tsinghua University, Beijing, Beijing Shi, China 
Brain-Computer Interfaces
"Shangkai Gao"
Mean distance: 15.55 (cluster 17)
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Liang L, Lin J, Yang C, et al. (2020) Optimizing a dual-frequency and phase modulation method for SSVEP-based BCIs. Journal of Neural Engineering
Yang C, Zhang H, Zhang S, et al. (2019) The Spatio-temporal Equalization for Evoked or Event-Related Potential Detection in Multichannel EEG Data. Ieee Transactions On Bio-Medical Engineering
Han X, Lin K, Gao S, et al. (2018) A novel system of SSVEP-based human-robot coordination. Journal of Neural Engineering
Yang C, Han X, Wang Y, et al. (2018) A Dynamic Window Recognition Algorithm for SSVEP-Based Brain-Computer Interfaces Using a Spatio-Temporal Equalizer. International Journal of Neural Systems. 1850028
Zhang S, Han X, Chen X, et al. (2018) A study on dynamic model of steady-state visual evoked potentials. Journal of Neural Engineering
Zhang D, Hong B, Gao S, et al. (2017) Exploring the temporal dynamics of sustained and transient spatial attention using steady-state visual evoked potentials. Experimental Brain Research
Chen X, Wang Y, Zhang S, et al. (2017) A novel stimulation method for multi-class SSVEP-BCI using intermodulation frequencies. Journal of Neural Engineering
Wang Y, Chen X, Gao X, et al. (2016) A Benchmark Dataset for SSVEP-Based Brain-Computer Interfaces. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society
Lin K, Cinetto A, Wang Y, et al. (2016) An online hybrid BCI system based on SSVEP and EMG. Journal of Neural Engineering. 13: 026020
Chen X, Wang Y, Nakanishi M, et al. (2015) High-speed spelling with a noninvasive brain-computer interface. Proceedings of the National Academy of Sciences of the United States of America
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