[PDF] Top 20 The iterative reweighted Mixed-Norm Estimate for spatio-temporal MEG/EEG source reconstruction
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The iterative reweighted Mixed-Norm Estimate for spatio-temporal MEG/EEG source reconstruction
... an MEG/EEG in- verse solver based on regularized regression with a non- convex block-separable ...penalty. The non-convex optimiza- tion problem is solved by iteratively solving a sequence of ... Voir le document complet
12
Improved MEG/EEG source localization with reweighted mixed-norms
... penalty. The resulting non-convex optimization problem is solved by iteratively solving convex surrogate optimization problems, which allows for fast algorithms and convergence control at each ...iteration. ... Voir le document complet
5
Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methods
... estimating the parameters of a model from incomplete and noisy ...in the field of medical imaging, or identifying the targets using sonars and ...Blind source separation, which is an active ... Voir le document complet
28
Skull conductivity estimation for EEG source localization
... model for sparse M/EEG reconstruction to make it capable of estimating the skull conductivity jointly with the underlying brain ...to the posterior distribution of this ... Voir le document complet
6
MEG Source Imaging and Dynamic Characterization.
... of the urrent distribution by using alternative (non-quadrati ) ost fun tions f (J) in ...or the spe ial ase of p = 1 , the problem an be slightly modied to be re ast as a linear ...ing the ... Voir le document complet
156
Spatio-temporal Attention Mechanisms for Activity Recognition
... extended the connectivity of a CNN in time domain to take advantage of local spatio-temporal ...strategies for the fusion of input data along different temporal dimension in CNNs ... Voir le document complet
201
Diffusion Magnetic Resonance information as a regularization term for MEG/EEG inverse problem
... constrain the Magnetoencephalography (MEG) and the Electroencephalography (EEG) inverse ...that the brain can be divided into several regions[1] with functional homogeneity inside each ... Voir le document complet
2
A physiologically plausible spatio-temporal model for EEG signals recorded with intracerebral electrodes in human partial epilepsy.
... is the study by Jirsa et ...On the one hand, a mesh of the cortical surface was built from 3D MRI data, which allowed for the positioning and the orientation of several ... Voir le document complet
10
Spatio-Temporal Attention Mechanism for Activity Recognition
... extended the connectivity of a CNN in time domain to take advantage of local spatio-temporal ...strategies for the fusion of input data along different temporal dimension in CNNs ... Voir le document complet
201
Tensor-Based Preprocessing of Combined EEG/MEG Data
... analyse the combination of EEG and MEG in tensor-based preprocessing, focusing on STF and STWV tensor ...to the problem of com- puting CP decompositions of third order tensors that have one or ... Voir le document complet
6
Scattering norm estimate near the threshold for energy-critical focusing semilinear wave equation
... modulation for a well-chosen time sequence. This relies on the compactness argument of [KM06b, Section 4], using the profile decomposition of Bahouri-G´erard [BG99], and on the classification ... Voir le document complet
22
MNE: Software for Acquiring, Processing, and Visualizing MEG/EEG Data
... combining the two methods (Sharon et al., 2007). The research in non-invasive electrophysiology can be systematized by considering at least two ...how MEG and EEG are used depends ... Voir le document complet
14
Comparison of beamformer implementations for MEG source localization
... archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or ...not. The documents may come from teaching and research institutions in France or ... Voir le document complet
37
Spatio-temporal metamodeling for West African monsoon
... methodology for performing sensibility analysis of a heavy numerical model when handling spatio-temporal inputs and ...outputs. The metamodel construction process is based on several steps, ... Voir le document complet
39
Regularized 4D-CT reconstruction from a single dataset with a spatio-temporal prior
... to the poor number of remaining projections for the reconstruction of a single ...CT reconstruction [ 6 ], [ 5 ], [ 23 ], [ 29 ], [ 30 ...to the necessary 4D planning CT prior to ... Voir le document complet
13
Variational Bayesian inversion of the equivalent current dipole model in EEG/MEG
... generated EEG data (at a single time point or time-window average) caused by one dipole located randomly in head model ...space. The locations were drawn from a normal distribution with zero mean and a ... Voir le document complet
14
Localization of extended brain sources from EEG/MEG: The ExSo-MUSIC approach.
... in the use of HO statistics. In the context of radiocommunications, the properties of HO statistics have been successfully exploited in various methods specically dedicated to the estimation ... Voir le document complet
46
The Inverse EEG and MEG Problems : The Adjoint State Approach I: The Continuous Case
... The Inverse EEG and MEG Problems : The Adjoint State Approach I: The Continuous Case Olivier Faugeras, François Clément, Rachid Deriche, Renaud Keriven, Théodore Papadopoulo, Jean Robert[r] ... Voir le document complet
33
Managing landscape spatio-temporal heterogeneity for biodiversity conservation
... O pen A rchive T OULOUSE A rchive O uverte ( OATAO ) OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an ... Voir le document complet
24
Using Closed n-set Patterns for Spatio-Temporal Classification
... Discussion The initial requirements described in Section 5.1 are met for two mains ...i.e., the sum of the latent attribute definition domain size. The number of edges is also ... Voir le document complet
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