This article provides a new, more comprehensive view of event-related brain dynamics
founded on an information-based approach to modeling electroencephalographic (EEG) …

Cortical brain areas and dynamics evolved to organize motor behavior in our three-dimensional
environment also support more general human cognitive processes. Yet traditional …

This review discusses the theory and practical application of independent component
analysis (ICA) to multi-channel EEG data. We use examples from an audiovisual attention-shifting …

Current analytical techniques applied to functional magnetic resonance imaging (fMRI) data
require a priori knowledge or specific assumptions about the time courses of processes …

We have developed a toolbox and graphic user interface, EEGLAB, running under the
crossplatform MATLAB environment (The Mathworks, Inc.) for processing collections of single-trial …

… moved through the 3-s data epochs (from –1 s before to 2 s after stimulus onset) in 14-ms …
or lower than mean power during the 1-s prestimulus baseline period of the same epochs. The …

… S contains the N amplitudes of the N principal component waveforms. We can define the “non-normalized”
principal component waveforms as the columns of P 5 US. The eigenvector …

… between the target noise bursts at 2-4 s intervals. EEG was collected from thirteen electrodes
… index time series (Hit=O/Lapse=l) with a 95 s smoothing window advanced for 1.64 s steps. …

… Responses to target and non-target stimuli presented about every 2 s were recorded for
each subject. Data epochs were extracted surrounding each stimulus, extending from 100 …

… the ERP topography to shift continuously and making decomposition into spatially fixed
activations … A subject’s preexisting level of arousal and attention to the stimuli can also affect the …