Algorithmic procedures for Bayesian MEG/EEG source reconstruction in SPM

ABSTRACT: The MEG/EEG inverse problem is ill-posed, giving different source reconstructions depending on the initial assumption sets. Parametric Empirical Bayes allows one to implement most popular MEG/EEG inversion schemes (Minimum Norm, LORETA, etc.) within the same generic Bayesian framework. It...

Full description

Autores:

López, José David
Friston, Karl J.
Espinosa Oviedo, Jairo José
Litvak, Vladimir
Barnes, Gareth Robert

Tipo de recurso:

Article of investigation

Fecha de publicación:

2014

Institución:

Universidad de Antioquia

Repositorio:

Repositorio UdeA

Idioma:

eng

OAI Identifier:

oai:bibliotecadigital.udea.edu.co:10495/35604

Acceso en línea:

https://hdl.handle.net/10495/35604

Palabra clave:

Algoritmos
Algorithms
Inteligencia Artificial
Artificial Intelligence
Teorema de Bayes
Bayes Theorem
Electroencefalografía - Métodos
Electroencephalography- Métodos
Reproducibilidad de los Resultados
Reproducibility of Results
MEG/EEG inverse problem

Rights

openAccess

License

http://creativecommons.org/licenses/by-nc-nd/2.5/co/