Single meg/eeg source reconstruction with multiple sparse priors and variable patches

MEG/EEG brain imaging has become an important tool in neuroimaging. The reconstruction of cortical current flow is an ill-posed problem, but its uncertainty can be reduced by including prior information within a Bayesian framework. Typically this involves using knowledge of the cortical manifold to...

Full description

Autores:
López Hincapié, José David
Barnes, Gareth Robert
Espinosa, Jairo José
Tipo de recurso:
Article of journal
Fecha de publicación:
2012
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/39402
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/39402
http://bdigital.unal.edu.co/29499/
Palabra clave:
MEG/EEG inverse problem
Multiple Sparse Priors
Brain imaging
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional