Cargando…
Dynamic causal modelling of distributed electromagnetic responses
In this note, we describe a variant of dynamic causal modelling for evoked responses as measured with electroencephalography or magnetoencephalography (EEG and MEG). We depart from equivalent current dipole formulations of DCM, and extend it to provide spatiotemporal source estimates that are spatia...
Autores principales: | Daunizeau, Jean, Kiebel, Stefan J., Friston, Karl J. |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Academic Press
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2722904/ https://www.ncbi.nlm.nih.gov/pubmed/19398015 http://dx.doi.org/10.1016/j.neuroimage.2009.04.062 |
Ejemplares similares
-
A dynamic causal model study of neuronal population dynamics
por: Marreiros, André C., et al.
Publicado: (2010) -
Consistent spectral predictors for dynamic causal models of steady-state responses
por: Moran, Rosalyn J., et al.
Publicado: (2011) -
Gradient-free MCMC methods for dynamic causal modelling
por: Sengupta, Biswa, et al.
Publicado: (2015) -
Gradient-based MCMC samplers for dynamic causal modelling
por: Sengupta, Biswa, et al.
Publicado: (2016) -
Convolution models for induced electromagnetic responses
por: Litvak, Vladimir, et al.
Publicado: (2013)