The technology to collect brain imaging and physiological measures has become portable
and ubiquitous, opening the possibility of large-scale analysis of real-world human imaging. …

We describe a set of complementary EEG data collection and processing tools recently
developed at the Swartz Center for ComputationalNeuroscience (SCCN) that connect to and …

Human cognition has been shaped both by our body structure and by its complex interactions
with its environment. Our cognition is thus inextricably linked to our own and others’ motor …

We report the design and performance of a brain-computer interface (BCI) system for real-time
single-trial binary classification of viewed images based on participant-specific dynamic …

Because of the increasing portability and wearability of noninvasive electrophysiological
systems that record and process electrical signals from the human brain, automated systems for …

A new paradigm for human brain imaging, mobile brain/body imaging (MoBI), involves
synchronous collection of human brain activity (via electroencephalography, EEG) and behavior (…

A crucial question for the analysis of multi-subject and/or multi-session electroencephalographic
(EEG) data is how to combine information across multiple recordings from different …

Although several guidelines for best practices in EEG preprocessing have been released,
even studies that strictly adhere to those guidelines contain considerable variation in the ways …

Electroencephalography (EEG) offers a platform for studying the relationships between
behavioral measures, such as blink rate and duration, with neural correlates of fatigue and …

Independent component analysis (ICA) can find distinct sources of electroencephalographic
(EEG) activity, both brain-based and artifactual, and has become a common pre-…