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Scatter-based common spatial patterns -- a unified spatial filtering framework
The results show that the proposed framework outperforms all the competing algorithms in terms of average classification accuracy and computational efficiency in both binary and multi-class problems. The proposed scsCSP works as a unified framework for general multi-class problems and is promising for improving the performance of MI-BCIs.
Online functional connectivity analysis of large all-to-all networks
The analysis of EEG/MEG functional connectivity has become an important tool in neural research.
The iterative reweighted Mixed-Norm Estimate for spatio-temporal MEG/EEG source reconstruction
Source imaging based on magnetoencephalography (MEG) and electroencephalography (EEG) allows for the non-invasive analysis of brain activity with high temporal and good spatial resolution.
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