EEG source imaging with spatio-temporal tomographic nonnegative independent component analysis. (Q34606701)

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scientific article

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English	EEG source imaging with spatio-temporal tomographic nonnegative independent component analysis.	scientific article

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scholarly article

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:19378278%20AND%20SRC:MED&resulttype=core&format=json

26 January 2020

EEG source imaging with spatio-temporal tomographic nonnegative independent component analysis (English)

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:19378278%20AND%20SRC:MED&resulttype=core&format=json

26 January 2020

Jose Miguel Sanchez-Bornot

3

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26 January 2020

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Pedro A Valdés-Sosa

1

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26 January 2020

Mayrim Vega-Hernández

2

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26 January 2020

Eduardo Martínez-Montes

4

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26 January 2020

María Antonieta Bobes

5

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26 January 2020

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1 June 2009

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26 January 2020

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13

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Human Brain Mapping

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Europe PubMed Central

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26 January 2020

30

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26 January 2020

6

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26 January 2020

1898-1910

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26 January 2020

3D statistical parametric mapping of EEG source spectra by means of variable resolution electromagnetic tomography (VARETA).

1 reference

https://api.crossref.org/works/10.1002%2FHBM.20784

21 January 2018

Probabilistic algorithms for MEG/EEG source reconstruction using temporal basis functions learned from data

1 reference

https://pubmed.ncbi.nlm.nih.gov/19378278

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A unified Bayesian framework for MEG/EEG source imaging

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A "nonnegative PCA" algorithm for independent component analysis

1 reference

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Visualization of magnetoencephalographic data using minimum current estimates.

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Hierarchical Bayesian estimates of distributed MEG sources: theoretical aspects and comparison of variational and MCMC methods

1 reference

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Spatio-temporal decomposition of the EEG: a general approach to the isolation and localization of sources

1 reference

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Nonsmooth nonnegative matrix factorization (nsNMF).

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Bayesian spatio-temporal approach for EEG source reconstruction: conciliating ECD and distributed models

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Evoked dipole source potentials of the human auditory cortex

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Neuromagnetic source imaging with FOCUSS: a recursive weighted minimum norm algorithm

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Independent components of magnetoencephalography: localization

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Controlled Support MEG imaging

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A Bayesian approach to introducing anatomo-functional priors in the EEG/MEG inverse problem

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Imaging human EEG dynamics using independent component analysis

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Evaluation of L1 and L2 minimum norm performances on EEG localizations.

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Brain potentials reflect access to visual and emotional memories for faces.

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A solution to the dynamical inverse problem of EEG generation using spatiotemporal Kalman filtering.

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Hierarchical models in the brain

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Low resolution electromagnetic tomography: a new method for localizing electrical activity in the brain

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Automatic relevance determination based hierarchical Bayesian MEG inversion in practice

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Recursive MUSIC: a framework for EEG and MEG source localization

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A robust reconstruction of sparse biomagnetic sources

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Combining sparsity and rotational invariance in EEG/MEG source reconstruction

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Convex and semi-nonnegative matrix factorizations

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Understanding brain connectivity from EEG data by identifying systems composed of interacting sources

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Interpreting magnetic fields of the brain: minimum norm estimates.

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A distributed spatio-temporal EEG/MEG inverse solver

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Decomposing EEG data into space-time-frequency components using Parallel Factor Analysis

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Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details

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A Unifying Review of Linear Gaussian Models

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EEG source imaging

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Bayesian model averaging in EEG/MEG imaging.

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Selective minimum-norm solution of the biomagnetic inverse problem.

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Recursive penalized least squares solution for dynamical inverse problems of EEG generation

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Recipes for the linear analysis of EEG.

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