@inproceedings{cbfddd61d2ee4c929c48f2de2ae83bb0,
title = "Symmetrical EEG/fMRI fusion with spatially adaptive priors using variational distribution approximation",
abstract = "In this paper, we propose a symmetrical EEG/fMRI fusion algorithm which combines EEG and fMRI by means of a common generative model. The use of a total variation (TV) prior as well as spatially adaptive temporal priors enables adaptation to the local characteristics of the estimated responses. We utilize an approximate variational Bayesian framework and obtain a fully automatic fusion algorithm. Simulation results demonstrate that the proposed algorithm outperforms existing EEG/fMRI fusion methods.",
keywords = "EEG, Total variation (TV), Variational Bayesian methods, fMRI",
author = "Martin Luessi and Babacan, \{S. Derin\} and Rafael Molina and Booth, \{James R.\} and Katsaggelos, \{Aggelos K.\}",
year = "2010",
doi = "10.1109/ICASSP.2010.5495153",
language = "English (US)",
isbn = "9781424442966",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "638--641",
booktitle = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings",
address = "United States",
note = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 ; Conference date: 14-03-2010 Through 19-03-2010",
}