[Colloquium] Thursday 1/10 | Ed Awh at the Computational Social Science Workshop

[Nora Nickels via Colloquium]

THE COMPUTATIONAL SOCIAL SCIENCE WORKSHOP PRESENTSED AWHPROFESSOR,
DEPARTMENT OF PSYCHOLOGY, THE INSTITUTE FOR MIND AND BIOLOGY, AND THE
GROSSMAN INSTITUTE FOR NEUROSCIENCE, QUANTITATIVE BIOLOGY AND HUMAN BEHAVIORTHE
UNIVERSITY OF CHICAGO



The Computational Social Science Workshop
<https://macss.uchicago.edu/content/computation-workshop>at the University
of Chicago cordially invites you to attend this week’s talk:


RHYTHMIC BRAIN ACTIVITY TRACKS THE TIMING AND CONTENT OF ONLINE SPATIAL
REPRESENTATIONS
<https://github.com/uchicago-computation-workshop/ed_awh/blob/master/rhythmic_brain_activity.pdf>


Summary: Recent advances in multivariate decoding have enabled a new class
of questions to be addressed using neural data. While much progress has
been made by focusing on the amplitude and locus of neural responses in the
brain, newer methods focused on the specific pattern of activity within a
given region or set of regions can complement earlier approaches by
decoding the content of the representations in specific neural regions.
Here, I’ll review recent work from our lab that has applied these methods
to EEG activity measured from the human brain. Using an inverted encoding
analysis, we are able to reconstruct spatial representations that are held
in mind during storage in working memory, during covert orienting of
spatial attention, and during the retrieval of spatial representations from
long term memory. This precise and temporally-resolved method is opening
new doors for studying the limits of online memory and attention.


THURSDAY, 1/10/201911:00AM-12:20PMKENT 120


A light lunch will be provided by Papa John’s.



Ed Awh is a professor in the Department of Psychology, The Institute for
Mind and Biology, and the Grossman Institute for Neuroscience, Quantitative
Biology and Human Behavior. His laboratory focuses on behavioral and neural
studies of memory and attention. Dr. Awh’s lab employs psychophysics, EEG,
and functional MRI to learn about the neural mechanisms underlying these
basic cognitive processes and the relationship between these processes and
other cognitive functions. Recent work has focused on the use of neural
decoding techniques to track the contents of online memories and the locus
of covert attention.




------------------------------

The 2018-2019 Computational Social Science Workshop
<https://macss.uchicago.edu/content/computation-workshop>meets Thursdays
from 11 a.m. to 12:20 p.m. in Kent 120. All interested faculty and graduate
students are welcome.

Students in the Masters of Computational Social Science program are
expected to attend and join the discussion by posting a comment on the issues
page  <https://github.com/uchicago-computation-workshop/ed_awh/issues>of the
 workshop’s public repository on GitHub.
<https://github.com/uchicago-computation-workshop/ed_awh> Further
instructions are documented in the Computational Social Science
Workshop’s README
on Github. <https://github.com/uchicago-computation-workshop/README>
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