Dynamic Causal Models and Physiological Inference: A Validation Study Using Isoflurane Anaesthesia in Rodents

Generative models of neuroimaging and electrophysiological data present new opportunities for accessing hidden or latent brain states. Dynamic causal modeling (DCM) uses Bayesian model inversion and selection to infer the synaptic mechanisms underlying empirically observed brain responses. DCM for e...

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Detalles Bibliográficos
Autores principales: Moran, Rosalyn J., Jung, Fabienne, Kumagai, Tetsuya, Endepols, Heike, Graf, Rudolf, Dolan, Raymond J., Friston, Karl J., Stephan, Klaas E., Tittgemeyer, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3149050/
https://www.ncbi.nlm.nih.gov/pubmed/21829652
http://dx.doi.org/10.1371/journal.pone.0022790

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3149050/
https://www.ncbi.nlm.nih.gov/pubmed/21829652
http://dx.doi.org/10.1371/journal.pone.0022790

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