Abstract Details
Activity Number:
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512
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Type:
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Invited
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Date/Time:
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Wednesday, August 12, 2015 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Imaging
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Abstract #314504
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Title:
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Source Localization in MEG
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Author(s):
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Robert Kass*
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Companies:
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Carnegie Mellon University
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Keywords:
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Neuroimaging ;
MEG ;
Sparse regression
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Abstract:
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In contrast with fMRI, magnetoencephalography (MEG) offers excellent time resolution, at millisecond precision. The problem of identifying brain sources for the MEG sensor signals creates a time series of p >> n regression problems. The most common solution uses L2 regularization separately at each time point. I will discuss alternative methods designed for a special situation, where each of many subjects must learn a task across several hundred repeated trials. The goal is to describe the way that activity in many different brain areas evolves during learning.
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Authors who are presenting talks have a * after their name.
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