[Bloominglabs-announce] EEG talk today at IU

Seth Frey moctodliamg at gmail.com
Mon Sep 24 10:00:34 EDT 2012

And I'll be at a smaller-scale student meeting with him afterwards if
you have any technical questions to feed/seed me with.

Graduate Student, Cognitive Science and Informatics, Indiana University
–– http://enfascination.com –– http://bloomingtoncoop.org ––

On Mon, Sep 24, 2012 at 8:57 AM, Jenett Tillotson <jtillots at cogbots.com> wrote:
> This Cognitive Science Colloquium is about EEG and should be of interest to
> makers. I know I've talked to several people at Bloominglabs about EEG and I
> know a couple of our members have their own EEG devices.
> Plus, I'm travelling and can't go. This talk is open to the public, so go
> and then tell me all about it!
> Jenett
> ---------- Forwarded message ----------
> Our first Cognitive Science Colloquium Lecture of the semester is today,
> September 24, 2012.  It will run from 4:00-5:00 PM in Psychology Room 101 at
> 1101 E. 10th St.
> Speaker: Scott Makeig, University of California San Diego
> Abstract: Electroencephalography (EEG), the recording of electric potentials
> produced by the partial areal synchrony of electrical field activity in
> cortical neuropile, was the earliest and is still the most widely known,
> most portable, most relatively low-cost, and most non-invasive brain imaging
> modality. However, for a variety of reasons until recently EEG imaging has
> not received adequate attention from engineers and applied mathematicians to
> the important question of how to extract more of its biologically and
> psychologically relevant information. Today, neurologists still typically
> review clinical EEG 'squiggles' by visual inspection alone, and most
> psychophysiologists consider only peaks in scalp-recorded event-related
> potential (ERP)  averages - by so doing ignoring 90-99% of the recorded EEG
> signals. It is now generally accepted that spatiotemporal changes in EEG
> activity patterns correlate with changes in cognitive arousal, attention,
> intention, evaluation, and the like, thereby providing a high
> temporal-resolution “window on the brain/mind.” However, the biological
> mechanisms that link EEG patterns to these and other aspects of cognition
> are not understood in much detail.  In the last two decades, more adequate
> signal processing methods, made feasible by ever-faster computers, have
> greatly increased the amount of meaningful information about brain / mental
> function that can be mined from high-density EEG signals. My laboratory,
> SCCN, continues to develop the open-source the EEGLAB signal processing
> environment for Matlab (Delorme & Makeig, 2004) that in particular
> implements use of EEG source imaging based on independent component analysis
> (ICA) and time/frequency analysis. We are also working to develop a new
> imaging modality, mobile brain/body imaging (MoBI), that combines portable
> high-density EEG ('What the brain does.') with full-body motion capture, eye
> gaze tracking, and behavioral response recording ('What the brain
> controls?') to better understand and monitor what might be called our
> 'natural cognition' that guides and evaluated our naturally motivated
> actions -- and interactions. Using MoBI, macroscopic changes in cortical
> field synchrony, including interactions between multiple brain areas timed
> precisely to our actions (and interactions), can be detected and modeled,
> hopefully leading to better basic understanding of brain dynamics supporting
> our daily living (and their pathologies). In coming years, as well, more
> adequate, near real-time EEG signal processing for feature extraction and
> state prediction or recognition, in combination with fast-developing
> non-invasive, dry, wireless and wearable EEG and other biosensor systems,
> will likely produce meaningful 3-D functional brain imaging and
> brain-computer interface (BCI) applications for a wide range of purposes.
> Thus EEG, the oldest brain imaging modality, is rapidly becoming a 'new' and
> important imaging modality, both for basic neuroscience and for the quickly
> evolving field of 'neurotechnology' applications.
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