[PDF] Top 20 fMRI BOLD signal decomposition using a multivariate low-rank model
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fMRI BOLD signal decomposition using a multivariate low-rank model
... signals using voxel- wise linear model and perform maximum likelihood estimation to get the parameters associated with the ...task fMRI, the latter are usually defined from the experimental paradigm ... Voir le document complet
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Decomposition of Low Rank Multi-Symmetric Tensor
... The decomposition of symmetric and multi-symmetric tensors has many applications in engineering disci- plines such that signal processing [11], scientific data analysis [9], [18], statistics [17], in ... Voir le document complet
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Mapping of the brain hemodynamic responses to sensorimotor stimulation in a rodent model: A BOLD fMRI study
... (BOLD fMRI) during electrical paw stim- ulation has been widely used in studies aimed at the understanding of the somatosensory network in ...stimulation. BOLD fMRI study of the integration of ... Voir le document complet
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Structure et fonction du cerveau : lien entre la densité vasculaire régionale et l'amplitude du signal BOLD
... neuronal a ctivity (Song e t al., 1996). W e dem on strate d th a t th e den sity o f such venules has a significant im pact on th e observed am p litu d e o f th e BOLD ...th a t ... Voir le document complet
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Combining covariance tapering and lasso driven low rank decomposition for the kriging of large spatial datasets
... in a reasonable computation time ...covariance model that is fitted to the data is compactly supported with a short range (Gneiting, 2002), neglecting possible medium scale ... Voir le document complet
26
Under-determined reverberant audio source separation using a full-rank spatial covariance model
... the model parameters as required for realistic BSS ...propose a new full-rank unconstrained ...strained model outperforms state-of-the-art algorithms on a wide range of data and ... Voir le document complet
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Trading Performance for Memory in Sparse Direct Solvers using Low-rank Compression
... of a low-rank solver using low-rank ...is low, slower than a generic sparse direct ...in a supernodal context, manages low-rank updates between ... Voir le document complet
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A nonlinear model with latent process for cognitive evolution using multivariate longitudinal data
... A nonlinear model with latent process for cognitive evolution using multivariate longitudinal data Cécile Proust-Lima, Hélène Jacqmin-Gadda, Jérémy Taylor, Julien Ganiayre, Daniel Commen[r] ... Voir le document complet
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A sparse EEG-informed fMRI model for hybrid EEG-fMRI neurofeedback prediction
... of a new kind of data named NF-EEG-fMRI data, such as the dataset presented by (Perronnet et ...when using simultaneously both modalities, in NF-EEG-fMRI ...time a NF-EEG-fMRI ... Voir le document complet
24
fMRI Deconvolution via Temporal Regularization using a LASSO model and the LARS algorithm
... activity-inducing signal u(t) = ∗ s(t), normalized by the factor ...function using LARS [4], that outputs all λs of interest and their associated ... Voir le document complet
2
L1-Norm Regularized Deconvolution of Functional MRI BOLD Signal
... FSL tool Possum a) The fMRI signals y(t) were simulated on a 3D activation map. b, c) The reconstructed signals u*(t) obtained with our approach ( red ) and the Total Activation tool[2] (TA, blue ) ... Voir le document complet
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Robust Bayesian estimation of the hemodynamic response function in event-related BOLD fMRI using basic physiological information.
... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ... Voir le document complet
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Multivariate semi-blind deconvolution of fMRI time series
... activation signal z b 10 (left) and corresponding spatial map (axial views) b u 10 (right), mostly involving activated voxels in the visual ...activation signal z b 2 (left) and corresponding spatial map ... Voir le document complet
50
Mixed Precision Low Rank Approximations and their Application to Block Low Rank LU Factorization
... introduce a novel approach to exploit mixed precision arithmetic for low rank ...block low-rank (BLR) matrices, most of whose off-diagonal blocks have low ...propose a new ... Voir le document complet
27
Incremental dynamic mode decomposition: A reduced-model learner operating at the low-data limit
... calibrated model is expressed generally as a system of coupled nonlinear partial differential equations and must be solved for given loading and boundary ...as a combination of a reduced ... Voir le document complet
14
Calcium-dependent molecular fMRI using a magnetic nanosensor
... Stimulus-dependent signal changes were reversible and could be repeated over multiple cycles of K + stimulation and recovery with no apparent decrease in response amplitudes over the repeated treatments (Figure ... Voir le document complet
19
Technical report: Multivariate signal analysis by recurrence plots
... propose a novel concept for building recurrence plots from time-frequency signal representation, instead of directly from time variate ...nonstationary signal analysis. In our case, time-frequency ... Voir le document complet
28
A Low-Rank Approach to Off-the-Grid Sparse Superresolution
... Sparse super-resolution problems consist in recovering pointwise sources from low-resolution and possibly noisy measurements, a typical example being deconvolution. Such issues arise naturally in fields ... Voir le document complet
41
BOLD signal in both ipsilateral and contralateral retinotopic cortex with perceptual fading
... 6) using standard phase-encoding techniques ...(like a bowtie), to enhance signal to noise [62,63]. Wedges occupied a given location for 2 TRs ...in a clockwise ...run. A minimum ... Voir le document complet
11
Regional impairment of cerebrovascular reactivity and BOLD signal in adults after stroke.
... task-related BOLD signal changes in patients after ...become a widely used noninvasive neuroimaging technique based on blood oxygen level- dependent (BOLD) ...reported a linear ... Voir le document complet
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