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Symmetric analysis of EEG and fMRI using nonlinear models: a Simulation Study

Abstract : In this paper, we introduce a new method of symmetric analysis of Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) data. We consider each signal as a projection of the real neural activations to find spatial sources and their related temporal sources. We use the sparsity of activated voxels as a constraint for solving the localization problem. Simulation results illustrate superiority of our method compared to the previous methods.
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https://hal.inria.fr/inria-00369616
Contributor : Ist Rennes <>
Submitted on : Friday, March 20, 2009 - 2:50:44 PM
Last modification on : Saturday, October 6, 2018 - 7:16:02 PM
Long-term archiving on: : Thursday, June 10, 2010 - 5:48:13 PM

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Samareh Samadi, Hamid Soltanian-Zadeh. Symmetric analysis of EEG and fMRI using nonlinear models: a Simulation Study. SPARS'09 - Signal Processing with Adaptive Sparse Structured Representations, Inria Rennes - Bretagne Atlantique, Apr 2009, Saint Malo, France. ⟨inria-00369616⟩

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