Classification methods for ongoing EEG and MEG signals.

@article{Besserve2007ClassificationMF,
  title={Classification methods for ongoing EEG and MEG signals.},
  author={Michel Besserve and Karim Jerbi and François Laurent and Sylvain Baillet and Jacques Martinerie and Line Garnero},
  journal={Biological research},
  year={2007},
  volume={40 4},
  pages={415-37}
}
Classification algorithms help predict the qualitative properties of a subject's mental state by extracting useful information from the highly multivariate non-invasive recordings of his brain activity. In particular, applying them to Magneto-encephalography (MEG) and electro-encephalography (EEG) is a challenging and promising task with prominent practical applications to e.g. Brain Computer Interface (BCI). In this paper, we first review the principles of the major classification techniques… CONTINUE READING

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Event related oscillations: what about phase

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