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Journal Abstract Search

1353 related items for PubMed ID: 25541187

  • 21. Exceeding chance level by chance: The caveat of theoretical chance levels in brain signal classification and statistical assessment of decoding accuracy.
    Combrisson E, Jerbi K.
    J Neurosci Methods; 2015 Jul 30; 250():126-36. PubMed ID: 25596422
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  • 22. Localization Estimation Algorithm (LEA): a supervised prior-based approach for solving the EEG/MEG inverse problem.
    Mattout J, Pélégrini-Issac M, Bellio A, Daunizeau J, Benali H.
    Inf Process Med Imaging; 2003 Jul 30; 18():536-47. PubMed ID: 15344486
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  • 23. Monte Carlo simulation studies of EEG and MEG localization accuracy.
    Liu AK, Dale AM, Belliveau JW.
    Hum Brain Mapp; 2002 May 30; 16(1):47-62. PubMed ID: 11870926
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  • 29. Spectral signal space projection algorithm for frequency domain MEG and EEG denoising, whitening, and source imaging.
    Ramírez RR, Kopell BH, Butson CR, Hiner BC, Baillet S.
    Neuroimage; 2011 May 01; 56(1):78-92. PubMed ID: 21315157
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  • 31. Distinguishing between moving and stationary sources using EEG/MEG measurements with an application to epilepsy.
    Yetik IS, Nehorai A, Lewine JD, Muravchik CH.
    IEEE Trans Biomed Eng; 2005 Mar 01; 52(3):471-9. PubMed ID: 15759577
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  • 32. Integrated MEG/EEG and fMRI model based on neural masses.
    Babajani A, Soltanian-Zadeh H.
    IEEE Trans Biomed Eng; 2006 Sep 01; 53(9):1794-801. PubMed ID: 16941835
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  • 33. Hierarchical multiscale Bayesian algorithm for robust MEG/EEG source reconstruction.
    Cai C, Sekihara K, Nagarajan SS.
    Neuroimage; 2018 Dec 01; 183():698-715. PubMed ID: 30059734
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  • 34. Subspace projection filters for real-time brain electromagnetic imaging.
    Congedo M.
    IEEE Trans Biomed Eng; 2006 Aug 01; 53(8):1624-34. PubMed ID: 16916097
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  • 40. Quantification of the benefit from integrating MEG and EEG data in minimum l2-norm estimation.
    Molins A, Stufflebeam SM, Brown EN, Hämäläinen MS.
    Neuroimage; 2008 Sep 01; 42(3):1069-77. PubMed ID: 18602485
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