Topographic components model for event-related potentials and some biophysical considerations.
paper
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- Authors
- Möcks, J
- Year
- 1988
- Journal
- IEEE transactions on bio-medical engineering
- PMID
- 3397102
- DOI
- 10.1109/10.2119
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| Title | Year | PMID |
|---|---|---|
| Advances in Electrophysiological Research. | 2015 | 26259089 |
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| Single trial ERP reading based on parallel factor analysis. | Vanderperren K et al. | — | 2013 | → |
| Unraveling superimposed EEG rhythms with multi-dimensional decomposition. | Orekhova EV et al. | — | 2011 | → |
| Three-way matrix analysis, the MUSIC algorithm and the coupled dipole model. | de Munck JC et al. | — | 2009 | → |
| A decomposition of electrocortical activity as a function of spatial frequency: a weighted multidimensional scaling analysis. | Melis C et al. | — | 2008 | → |
| Shift-invariant multilinear decomposition of neuroimaging data. | Mørup M et al. | — | 2008 | → |
| Independent component analysis and clustering improve signal-to-noise ratio for statistical analysis of event-related potentials. | Zeman PM et al. | — | 2007 | → |
| Trusting in or breaking with convention: towards a renaissance of principal components analysis in electrophysiology. | Kayser J et al. | — | 2005 | → |
| Concurrent EEG/fMRI analysis by multiway Partial Least Squares. | Martínez-Montes E et al. | — | 2004 | → |
| Decomposing EEG data into space-time-frequency components using Parallel Factor Analysis. | Miwakeichi F et al. | — | 2004 | → |
| Structure-seeking multilinear methods for the analysis of fMRI data. | Andersen AH et al. | — | 2004 | → |
| The coupled dipole model: an integrated model for multiple MEG/EEG data sets. | Bijma F et al. | — | 2004 | → |
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| Addressing misallocation of variance in principal components analysis of event-related potentials. | Dien J | — | 1998 | → |
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| The analysis of the EEG. | Gasser T et al. | — | 1996 | → |
| Multivariate statistical brain electromagnetic mapping. | Galán L et al. | — | 1994 | → |
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