Keep it simple: a case for using classical minimum norm estimation in the analysis of EEG and MEG data
- 30 April 2004
- journal article
- Published by Elsevier BV in NeuroImage
- Vol. 21 (4), 1612-1621
- https://doi.org/10.1016/j.neuroimage.2003.12.018
Abstract
No abstract availableKeywords
This publication has 40 references indexed in Scilit:
- Multimodal integration of high-resolution EEG and functional magnetic resonance imaging data: a simulation studyNeuroImage, 2003
- Electromagnetic brain mappingIEEE Signal Processing Magazine, 2001
- Linear and Nonlinear Current Density ReconstructionsJournal Of Clinical Neurophysiology, 1999
- A critical analysis of linear inverse solutions to the neuroelectromagnetic inverse problemIEEE Transactions on Biomedical Engineering, 1998
- Smooth reconstruction of cortical sources from EEG or MEG recordingsNeuroImage, 1996
- Magnetic field tomography of cortical and deep processes: examples of “real-time mapping” of averaged and single trial MEG signalsInternational Journal of Psychophysiology, 1995
- Models of source currents in the brainBrain Topography, 1993
- Probabilistic methods in a biomagnetic inverse problemInverse Problems, 1989
- Linear inverse problems with discrete data: II. Stability and regularisationInverse Problems, 1988
- Ueber einige Gesetze der Vertheilung elektrischer Ströme in körperlichen Leitern, mit Anwendung auf die thierisch‐elektrischen Versuche (Schluss.)Annalen der Physik, 1853