The coupled dipole model: an integrated model for multiple MEG/EEG data sets-Reference-Cited by-同舟云学术

The coupled dipole model: an integrated model for multiple MEG/EEG data sets

Published:2004-11 Issue:3 Volume:23 Page:890-904
ISSN:1053-8119
Container-title:NeuroImage
language:en
Short-container-title:NeuroImage

Author:

Bijma Fetsje,de Munck Jan C.,Böcker Koen B.E.,Huizenga Hilde M.,Heethaar Rob M.

Publisher

Elsevier BV

Subject

Cognitive Neuroscience,Neurology

Reference19 articles.

1. Toward a dynamic topographic components model;Achim;Electroencephalogr. Clin. Neurophysiol.,1997

2. A mathematical approach to the temporal stationarity of background noise in MEG/EEG measurements;Bijma;NeuroImage,2003

3. A random dipole model for spontaneous brain activity;de Munck;IEEE Trans. Biomed. Eng.,1992

4. Estimating stationary dipoles from MEG/EEG data contaminated with spatially and temporally correlated background noise;de Munck;IEEE Trans. Signal Process.,2002

5. de Munck, J.C., Bijma, F., Gaura, P., Sieluzycki, C., Branco, M.I., Heethaar, R.M., in press. A mathematical description of habituation effects in multichannel MEG/EEG data. IEEE Trans. Biomed. Eng.

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Existence and uniqueness of the maximum likelihood estimator for models with a Kronecker product covariance structure;Journal of Multivariate Analysis;2016-01

2. Three-way matrix analysis, the MUSIC algorithm and the coupled dipole model;Journal of Neuroscience Methods;2009-09

3. Dynamic causal modeling for EEG and MEG;Human Brain Mapping;2009-06

4. Signal Extraction in Multisensor Biomedical Recordings;Advances in Biomedical Engineering;2009

5. A graphical model for estimating stimulus-evoked brain responses from magnetoencephalography data with large background brain activity;NeuroImage;2006-04