Non-linear Parameter Estimates from Non-stationary MEG Data
We demonstrate a method to estimate key electrophysiological parameters from resting state data. In this paper, we focus on the estimation of head-position parameters. The recovery of these parameters is especially challenging as they are non-linearly related to the measured field. In order to do th...
Main Authors: | Martínez-Vargas, Juan D., López, Jose D., Baker, Adam, Castellanos-Dominguez, German, Woolrich, Mark W., Barnes, Gareth |
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Format: | Online |
Language: | English |
Published: |
Frontiers Media S.A.
2016
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4993126/ |
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