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...

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Bibliographic Details
Main Authors: Martínez-Vargas, Juan D., López, Jose D., Baker, Adam, Castellanos-Dominguez, German, Woolrich, Mark W., Barnes, Gareth
Format: Online
Language:English
Published: Frontiers Media S.A. 2016
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4993126/