@article {1675,
	title = {Using single-trial EEG to predict and analyze subsequent memory.},
	journal = {Neuroimage},
	volume = {84},
	year = {2014},
	month = {2014 Jan 01},
	pages = {712-23},
	abstract = {<p>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{\textquoteright} 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.</p>
},
	keywords = {Adolescent, Adult, Brain, Electroencephalography, Humans, Male, Memory, Young Adult},
	issn = {1095-9572},
	doi = {10.1016/j.neuroimage.2013.09.028},
	author = {Noh, Eunho and Herzmann, Grit and Curran, Tim and de Sa, Virginia R}
}
@article {155,
	title = {Understanding the genetic construction of behavior.},
	journal = {Sci Am},
	volume = {272},
	year = {1995},
	month = {1995 Apr},
	pages = {72-8},
	keywords = {Animals, Drosophila melanogaster, Female, Genetics, Behavioral, Humans, Male, Sexual Behavior, Animal},
	issn = {0036-8733},
	author = {Greenspan, R J}
}
