Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Lamus, Camilo"'
Publikováno v:
NeuroImage, vol. 63, no. 2, pp. 894-909. 2012
MEG/EEG are non-invasive imaging techniques that record brain activity with high temporal resolution. However, estimation of brain source currents from surface recordings requires solving an ill-posed inverse problem. Converging lines of evidence in
Externí odkaz:
http://arxiv.org/abs/1511.05056
MEG and EEG are noninvasive functional neuroimaging techniques that provide recordings of brain activity with high temporal resolution, and thus provide a unique window to study fast time-scale neural dynamics in humans. However, the accuracy of brai
Externí odkaz:
http://arxiv.org/abs/1511.03726
A Subspace Pursuit-based Iterative Greedy Hierarchical solution to the neuromagnetic inverse problem
Autor:
Babadi, Behtash, Obregon-Henao, Gabriel, Lamus, Camilo, Hämäläinen, Matti S., Brown, Emery N., Purdon, Patrick L.
Publikováno v:
In NeuroImage 15 February 2014 87:427-443
Publikováno v:
In NeuroImage 1 November 2012 63(2):894-909
Akademický článek
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Autor:
Márquez Quintero, Rogelio, Martínez Lamus, Camilo, Arévalo Garzón, Samuel, Montes Páez, Erik, cepeda Gómez, Félix
Publikováno v:
Revista Fuentes, El Reventón Energético; jul-dic2016, Vol. 14 Issue 2, p65-74, 10p
Simultaneous Electroencephalography and Functional Magnetic Resonance Imaging of General Anesthesia.
Autor:
Purdon, Patrick L., Pierce, Eric T., Bonmassar, Giorgio, Walsh, John, Harrell, P. Grace, Kwo, Jean, Deschler, Daniel, Barlow, Margaret, Merhar, Rebecca C., Lamus, Camilo, Mullaly, Catherine M., Sullivan, Mary, Maginnis, Sharon, Skoniecki, Debra, Higgins, Helen‐Anne, Brown, Emery N.
Publikováno v:
Annals of the New York Academy of Sciences; Mar2009, Vol. 1157, p61-70, 10p, 1 Chart, 4 Graphs
A Subspace Pursuit-based Iterative Greedy Hierarchical solution to the neuromagnetic inverse problem
Autor:
Emery N. Brown, Camilo Lamus, Matti Hämäläinen, Behtash Babadi, Patrick L. Purdon, Gabriel Obregon-Henao
Publikováno v:
PMC
Magnetoencephalography (MEG) is an important non-invasive method for studying activity within the human brain. Source localization methods can be used to estimate spatiotemporal activity from MEG measurements with high temporal resolution, but the sp
Publikováno v:
PMC
MEG/EEG are non-invasive imaging techniques that record brain activity with high temporal resolution. However, estimation of brain source currents from surface recordings requires solving an ill-conditioned inverse problem. Converging lines of eviden