Predicting variations of perceptual performance across individuals from neural activity using pattern classifiers

@article{Das2010PredictingVO,
  title={Predicting variations of perceptual performance across individuals from neural activity using pattern classifiers},
  author={Koel Das and Barry Giesbrecht and Miguel P. Eckstein},
  journal={NeuroImage},
  year={2010},
  volume={51 4},
  pages={1425-37}
}
Within the past decade computational approaches adopted from the field of machine learning have provided neuroscientists with powerful new tools for analyzing neural data. For instance, previous studies have applied pattern classification algorithms to electroencephalography data to predict the category of presented visual stimuli, human observer decision choices and task difficulty. Here, we quantitatively compare the ability of pattern classifiers and three ERP metrics (peak amplitude, mean… CONTINUE READING
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