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Fetsje Bijma

Showing results (1-10 of 12) with videos related to

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Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|November 12, 2009
How are evoked responses generated? The need for a unified mathematical frameworkJan C de Munck, Fetsje Bijma
Neuroimage|September 9, 2008
A space-frequency analysis of MEG background processesFetsje Bijma, Jan C de Munck
Neuroimage|July 16, 2005
The spatiotemporal MEG covariance matrix modeled as a sum of Kronecker productsFetsje Bijma, Jan C de Munck, Rob M Heethaar
Neuroimage|October 7, 2003
A mathematical approach to the temporal stationarity of background noise in MEG/EEG measurementsFetsje Bijma, Jan C de Munck, Hilde M Huizenga, et al.
Neuroimage|June 15, 2015
A three domain covariance framework for EEG/MEG dataBeata P Roś, Fetsje Bijma, Mathisca C M de Gunst, et al.
Plos One|February 10, 2017
Regional analysis of volumes and reproducibilities of automatic and manual hippocampal segmentationsFabian Bartel, Hugo Vrenken, Fetsje Bijma, et al.
IEEE Transactions on Bio-Medical Engineering|December 21, 2004
A maximum-likelihood estimator for trial-to-trial variations in noisy MEG/EEG data setsJan Casper de Munck, Fetsje Bijma, Pawel Gaura, et al.
Neuroimage|November 6, 2004
The coupled dipole model: an integrated model for multiple MEG/EEG data setsFetsje Bijma, Jan C de Munck, Koen B E Böcker, et al.
Plos One|February 4, 2014
A morpho-density approach to estimating neural connectivityMichael P McAssey, Fetsje Bijma, Bernadetta Tarigan, et al.
IEEE Transactions on Bio-Medical Engineering|June 20, 2003
In vivo measurement of the brain and skull resistivities using an EIT-based method and realistic models for the headSónia I Gonçalves, Jan C de Munck, Jeroen P A Verbunt, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|November 12, 2009
How are evoked responses generated? The need for a unified mathematical frameworkJan C de Munck, Fetsje Bijma
Neuroimage|September 9, 2008
A space-frequency analysis of MEG background processesFetsje Bijma, Jan C de Munck
Neuroimage|July 16, 2005
The spatiotemporal MEG covariance matrix modeled as a sum of Kronecker productsFetsje Bijma, Jan C de Munck, Rob M Heethaar
Neuroimage|October 7, 2003
A mathematical approach to the temporal stationarity of background noise in MEG/EEG measurementsFetsje Bijma, Jan C de Munck, Hilde M Huizenga, et al.
Neuroimage|June 15, 2015
A three domain covariance framework for EEG/MEG dataBeata P Roś, Fetsje Bijma, Mathisca C M de Gunst, et al.
Plos One|February 10, 2017
Regional analysis of volumes and reproducibilities of automatic and manual hippocampal segmentationsFabian Bartel, Hugo Vrenken, Fetsje Bijma, et al.
IEEE Transactions on Bio-Medical Engineering|December 21, 2004
A maximum-likelihood estimator for trial-to-trial variations in noisy MEG/EEG data setsJan Casper de Munck, Fetsje Bijma, Pawel Gaura, et al.
Neuroimage|November 6, 2004
The coupled dipole model: an integrated model for multiple MEG/EEG data setsFetsje Bijma, Jan C de Munck, Koen B E Böcker, et al.
Plos One|February 4, 2014
A morpho-density approach to estimating neural connectivityMichael P McAssey, Fetsje Bijma, Bernadetta Tarigan, et al.
IEEE Transactions on Bio-Medical Engineering|June 20, 2003
In vivo measurement of the brain and skull resistivities using an EIT-based method and realistic models for the headSónia I Gonçalves, Jan C de Munck, Jeroen P A Verbunt, et al.
Pageof 2