Single-trial detection in EEG and MEG: Keeping it linear

@article{Parra2003SingletrialDI,
  title={Single-trial detection in EEG and MEG: Keeping it linear},
  author={Lucas C. Parra and Christopher V. Alvino and Akaysha C. Tang and Barak A. Pearlmutter and Nick Yeung and Allen Osman and Paul Sajda},
  journal={Neurocomputing},
  year={2003},
  volume={52-54},
  pages={177-183}
}
Conventional electroencephalography (EEG) and magnetoencephalography (MEG) analysis often rely on averaging over multiple trials to extract statistically relevant di7erences between two or more experimental conditions. We demonstrate that by linearly integrating information over multiple spatially distributed sensors within a prede9ned time window, one can discriminate conditions on a trial-by-trial basis with high accuracy. We restrict ourselves to a linear integration as it allows the… CONTINUE READING
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