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Table 2 EEG Features Predicting Trial Accuracy in HC

From: Machine learning identification of EEG features predicting working memory performance in schizophrenia and healthy adults

Location WM stage Frequency Feature Weight
Frontal Encode gamma −1.500
Occipital Retrieve theta 2 −0.861
Central Retain theta 1 −0.097
Central Retrieve gamma −0.096
Occipital Baseline theta 1 −0.035
  1. Features extracted by 1-norm SVM to classify correct vs. incorrect trials in HN. Model based on simultaneous entry of 60 EEG features with correct trials labeled 1 and incorrect labeled −1. All other features weighted at 0