Latent Causal Modelling of Neuroimaging Data

Morten Mørup, Kristoffer Hougaard Madsen, Lars Kai Hansen

AbstractWe establish a close connection between Granger causality and convolutive bilinear models. Contrary to Granger causality that considers causal relations between the measurement variables the convolutive model operate with causal relations to underlying latent sources. We derive a Bayesian approach to estimate the model parameters and demonstrate its success on real and
artificial EEG data.
TypeConference paper [With referee]
ConferenceNIPS Workshop on Connectivity Inference in Neuroimaing
Electronic version(s)[pdf]
BibTeX data [bibtex]
IMM Group(s)Intelligent Signal Processing

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