[HTML][HTML] IFCN-endorsed practical guidelines for clinical magnetoencephalography (MEG)
Magnetoencephalography (MEG) records weak magnetic fields outside the human head
and thereby provides millisecond-accurate information about neuronal currents supporting …
and thereby provides millisecond-accurate information about neuronal currents supporting …
Compressed sensing approach for physiological signals: A review
The immense progress in physiological signal acquisition and processing in health
monitoring allowed a better understanding of patient disease detection and diagnosis. With …
monitoring allowed a better understanding of patient disease detection and diagnosis. With …
MEG and EEG data analysis with MNE-Python
Magnetoencephalography and electroencephalography (M/EEG) measure the weak
electromagnetic signals generated by neuronal activity in the brain. Using these signals to …
electromagnetic signals generated by neuronal activity in the brain. Using these signals to …
MNE software for processing MEG and EEG data
Magnetoencephalography and electroencephalography (M/EEG) measure the weak
electromagnetic signals originating from neural currents in the brain. Using these signals to …
electromagnetic signals originating from neural currents in the brain. Using these signals to …
Time-frequency mixed-norm estimates: Sparse M/EEG imaging with non-stationary source activations
Magnetoencephalography (MEG) and electroencephalography (EEG) allow functional brain
imaging with high temporal resolution. While solving the inverse problem independently at …
imaging with high temporal resolution. While solving the inverse problem independently at …
Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG
Subcortical structures play a critical role in brain function. However, options for assessing
electrophysiological activity in these structures are limited. Electromagnetic fields generated …
electrophysiological activity in these structures are limited. Electromagnetic fields generated …
Adding dynamics to the Human Connectome Project with MEG
Abstract The Human Connectome Project (HCP) seeks to map the structural and functional
connections between network elements in the human brain. Magnetoencephalography …
connections between network elements in the human brain. Magnetoencephalography …
Automated model selection in covariance estimation and spatial whitening of MEG and EEG signals
Magnetoencephalography and electroencephalography (M/EEG) measure non-invasively
the weak electromagnetic fields induced by post-synaptic neural currents. The estimation of …
the weak electromagnetic fields induced by post-synaptic neural currents. The estimation of …
Gap safe screening rules for sparsity enforcing penalties
In high dimensional regression settings, sparsity enforcing penalties have proved useful to
regularize the data-fitting term. A recently introduced technique called screening rules …
regularize the data-fitting term. A recently introduced technique called screening rules …
Mind the duality gap: safer rules for the lasso
Screening rules allow to early discard irrelevant variables from the optimization in Lasso
problems, or its derivatives, making solvers faster. In this paper, we propose new versions of …
problems, or its derivatives, making solvers faster. In this paper, we propose new versions of …