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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Detalles Bibliográficos
Autores principales: Martínez-Vargas, Juan D., López, Jose D., Baker, Adam, Castellanos-Dominguez, German, Woolrich, Mark W., Barnes, Gareth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2016
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4993126/
https://www.ncbi.nlm.nih.gov/pubmed/27597815
http://dx.doi.org/10.3389/fnins.2016.00366

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4993126/
https://www.ncbi.nlm.nih.gov/pubmed/27597815
http://dx.doi.org/10.3389/fnins.2016.00366

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