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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Detalhes bibliográficos
Main Authors: Moran, Rosalyn J., Jung, Fabienne, Kumagai, Tetsuya, Endepols, Heike, Graf, Rudolf, Dolan, Raymond J., Friston, Karl J., Stephan, Klaas E., Tittgemeyer, Marc
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2011
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3149050/
https://ncbi.nlm.nih.gov/pubmed/21829652
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0022790
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