Post-hoc selection of dynamic causal models

Journal of Neuroscience Methods

Volumn 208, Issue 1, 2012, Pages 66-78

  Rosa, M J ^a   Friston, K ^a   Penny, W ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

Bayesian model selection; Connectivity; Dynamic causal modelling; FMRI; Free energy bound; Model evidence

Indexed keywords

ARTICLE; CAUSAL MODELING; DENSITY; DYNAMIC CAUSAL MODEL; ENERGY; FUNCTIONAL MAGNETIC RESONANCE IMAGING; POST HOC ANALYSIS; PRIORITY JOURNAL;

BAYES THEOREM; BRAIN MAPPING; CAUSALITY; COMPUTER SIMULATION; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; NERVE NET;

EID: 84861330795     PISSN: 01650270     EISSN: 1872678X     Source Type: Journal    
DOI: 10.1016/j.jneumeth.2012.04.013     Document Type: Article

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