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Activity Number: 512
Type: Invited
Date/Time: Wednesday, August 12, 2015 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Imaging
Abstract #314504
Title: Source Localization in MEG
Author(s): Robert Kass*
Companies: Carnegie Mellon University
Keywords: Neuroimaging ; MEG ; Sparse regression
Abstract:

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.


Authors who are presenting talks have a * after their name.

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