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Hagai T Attias

Showing results (1-10 of 9) with videos related to

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IEEE Transactions on Neural Networks|March 13, 2008
An expectation-maximization method for spatio-temporal blind source separation using an AR-MOG source modelKenneth E Hild, Hagai T Attias, Srikantan S Nagarajan
Neuroimage|May 6, 2008
Probabilistic algorithms for MEG/EEG source reconstruction using temporal basis functions learned from dataJohanna M Zumer, Hagai T Attias, Kensuke Sekihara, et al.
Neuroimage|December 20, 2005
A graphical model for estimating stimulus-evoked brain responses from magnetoencephalography data with large background brain activitySrikantan S Nagarajan, Hagai T Attias, Kenneth E Hild, et al.
Statistics in Medicine|June 5, 2007
A probabilistic algorithm for robust interference suppression in bioelectromagnetic sensor dataSrikantan S Nagarajan, Hagai T Attias, Kenneth E Hild, et al.
Neuroimage|June 19, 2007
A probabilistic algorithm integrating source localization and noise suppression for MEG and EEG dataJohanna M Zumer, Hagai T Attias, Kensuke Sekihara, et al.
IEEE Transactions on Bio-Medical Engineering|March 11, 2009
A spatiotemporal framework for estimating trial-to-trial amplitude variation in event-related MEG/EEGTulaya Limpiti, Barry D Van Veen, Hagai T Attias, et al.
Neuroimage|July 15, 2009
Robust Bayesian estimation of the location, orientation, and time course of multiple correlated neural sources using MEGDavid P Wipf, Julia P Owen, Hagai T Attias, et al.
Neuroimage|January 3, 2012
Performance evaluation of the Champagne source reconstruction algorithm on simulated and real M/EEG dataJulia P Owen, David P Wipf, Hagai T Attias, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Accurate reconstruction of brain activity and functional connectivity from noisy MEG dataJulia P Owen, David P Wipf, Hagai T Attias, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Neural Networks|March 13, 2008
An expectation-maximization method for spatio-temporal blind source separation using an AR-MOG source modelKenneth E Hild, Hagai T Attias, Srikantan S Nagarajan
Neuroimage|May 6, 2008
Probabilistic algorithms for MEG/EEG source reconstruction using temporal basis functions learned from dataJohanna M Zumer, Hagai T Attias, Kensuke Sekihara, et al.
Neuroimage|December 20, 2005
A graphical model for estimating stimulus-evoked brain responses from magnetoencephalography data with large background brain activitySrikantan S Nagarajan, Hagai T Attias, Kenneth E Hild, et al.
Statistics in Medicine|June 5, 2007
A probabilistic algorithm for robust interference suppression in bioelectromagnetic sensor dataSrikantan S Nagarajan, Hagai T Attias, Kenneth E Hild, et al.
Neuroimage|June 19, 2007
A probabilistic algorithm integrating source localization and noise suppression for MEG and EEG dataJohanna M Zumer, Hagai T Attias, Kensuke Sekihara, et al.
IEEE Transactions on Bio-Medical Engineering|March 11, 2009
A spatiotemporal framework for estimating trial-to-trial amplitude variation in event-related MEG/EEGTulaya Limpiti, Barry D Van Veen, Hagai T Attias, et al.
Neuroimage|July 15, 2009
Robust Bayesian estimation of the location, orientation, and time course of multiple correlated neural sources using MEGDavid P Wipf, Julia P Owen, Hagai T Attias, et al.
Neuroimage|January 3, 2012
Performance evaluation of the Champagne source reconstruction algorithm on simulated and real M/EEG dataJulia P Owen, David P Wipf, Hagai T Attias, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 8, 2009
Accurate reconstruction of brain activity and functional connectivity from noisy MEG dataJulia P Owen, David P Wipf, Hagai T Attias, et al.
Pageof 1