38 citations · 43 across the 3 of their papers we have counts for
3 papers
stat.AP2019★ 1 cited
Probabilistic Structure Learning for EEG/MEG Source Imaging with Hierarchical Graph Prior
Feng Liu, Li Wang, Yifei Lou +2
Brain source imaging is an important method for noninvasively characterizing brain activity using Electroencephalogram (EEG) or Magnetoencephalography (MEG) recordings. Traditional…
stat.ME2017★ 4 cited
In reply to Faes et al. and Barnett et al. regarding "A study of problems encountered in Granger causality analysis from a neuroscience perspective"
Patrick A. Stokes, Patrick L. Purdon
This reply is in response to commentaries by Barnett, Barrett, and Seth (arXiv:1708.08001) and Faes, Stramaglia, and Marinazzo (arXiv:1708.06990) on our paper entitled "A study of…
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…