165 citations · 213 across the 6 of their papers we have counts for
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stat.AP2015★ 2 cited
An Analysis of How Spatiotemporal Dynamic Models of Brain Activity Could Improve MEG/EEG Inverse Solutions
Camilo Lamus, Matti S. Hamalainen, Emery N. Brown +1
MEG and EEG are noninvasive functional neuroimaging techniques that provide recordings of brain activity with high temporal resolution, and thus provide a unique window to study fa…
stat.AP2011★ 38 cited
State-space solutions to the dynamic magnetoencephalography inverse problem using high performance computing
Christopher J. Long, Patrick L. Purdon, Simona Temereanca +3
Determining the magnitude and location of neural sources within the brain that are responsible for generating magnetoencephalography (MEG) signals measured on the surface of the he…