Using single-trial EEG to predict and analyze subsequent memory
Publication Date
1-1-2014
Document Type
Article
Volume
84
Abstract
We show that it is possible to successfully predict subsequent memory performance based on single-trial EEG activity before and during item presentation in the study phase. Two-class classification was conducted to predict subsequently remembered vs. forgotten trials based on subjects' responses in the recognition phase. The overall accuracy across 18 subjects was 59.6% by combining pre- and during-stimulus information. The single-trial classification analysis provides a dimensionality reduction method to project the high-dimensional EEG data onto a discriminative space. These projections revealed novel findings in the pre- and during-stimulus periods related to levels of encoding. It was observed that the pre-stimulus information (specifically oscillatory activity between 25 and 35Hz) -300 to 0ms before stimulus presentation and during-stimulus alpha (7-12Hz) information between 1000 and 1400ms after stimulus onset distinguished between recollection and familiarity while the during-stimulus alpha information and temporal information between 400 and 800ms after stimulus onset mapped these two states to similar values.
Keywords
EEG, familiarity, memory, prediction, recollection, SME
Recommended Citation
Noh, Eunho; Herzmann, Grit; Curran, Tim; and de Sa, Virginia R., "Using single-trial EEG to predict and analyze subsequent memory" (2014). NeuroImage, , 712-723. 10.1016/j.neuroimage.2013.09.028. Retrieved from https://openworks.wooster.edu/facpub/349
