Date: December 31 2020
Summary: Modeling brain EEG using EEGLAB on a Go/Nogo Dataset to model brain activity
Keywords: ##bibliography #eeg #brain #data #ica #archive
A. Delorme, S. Makeig, M. Fabre-Thorpe, and T. Sejnowski, "From single-trial EEG to brain area dynamics," Neurocomputing, vol. 44–46, pp. 1057–1064, Jun. 2002, doi: 10.1016/S0925-2312(02)00415-0.
EEG data from rapid go/nogo visual categorization via natural photographs  Though the task involved complicated visual processing, averaged EEG epochs for target and non-target stimuli differed greatly as early as 150 ms after stimulus onset. It appeared to involve automated processing in the visual system. QUESTION: What is a go/nogo visual categorization task?
EEG inverse problem: reconstructing intracranial brain sources from collected signals.Disparate EEG processes generally overlap in time and space. They become intertwined in scalp electrode recordings. 
Subjects were presented pictures for 20 ms at random intervals between 1.8–2.2s. Half of the pictures were animals. Subjects released a held button when an animal was observed. Subject accuracy was 94% for correct responses. Median reaction time was 440 ms
Zelko, Jacob. From Single-Trial EEG To Brain Area Dynamics. https://jacobzelko.com/12312020235220-single-trial-eeg. December 31 2020.
 M. Fabre-Thorpe, A. Delorme, C. Marlot, and S. Thorpe, “A limit to the speed of processing in ultra-rapid visual categorization of novel natural scenes,” J. Cogn. Neurosci., vol. 13, no. 2, pp. 171–180, 2001.
 S. J. Thorpe and M. Fabre-Thorpe, “Seeking categories in the brain,” Science, vol. 291, no. 5502, pp. 260–263, 2001.
 S. Thorpe, D. Fize, and C. Marlot, “Speed of processing in the human visual system,” nature, vol. 381, no. 6582, pp. 520–522, 1996.