Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[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 …
Electrophysiological imaging of brain activity and connectivity—challenges and opportunities
Unlocking the dynamic inner workings of the brain continues to remain a grand challenge of
the 21st century. To this end, functional neuroimaging modalities represent an outstanding …
the 21st century. To this end, functional neuroimaging modalities represent an outstanding …
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 …
Structured compressed sensing: From theory to applications
Compressed sensing (CS) is an emerging field that has attracted considerable research
interest over the past few years. Previous review articles in CS limit their scope to standard …
interest over the past few years. Previous review articles in CS limit their scope to standard …
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 …
Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methods
Magneto-and electroencephalography (M/EEG) measure the electromagnetic fields
produced by the neural electrical currents. Given a conductor model for the head, and the …
produced by the neural electrical currents. Given a conductor model for the head, and the …
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 …
A simulation framework for benchmarking EEG-based brain connectivity estimation methodologies
Due to its high temporal resolution, electroencephalography (EEG) is widely used to study
functional and effective brain connectivity. Yet, there is currently a mismatch between the …
functional and effective brain connectivity. Yet, there is currently a mismatch between the …
[HTML][HTML] Spatial fidelity of MEG/EEG source estimates: A general evaluation approach
Low spatial resolution is often cited as the most critical limitation of magneto-and
electroencephalography (MEG and EEG), but a unifying framework for quantifying the …
electroencephalography (MEG and EEG), but a unifying framework for quantifying the …
Causal network inference via group sparse regularization
This paper addresses the problem of inferring sparse causal networks modeled by
multivariate autoregressive (MAR) processes. Conditions are derived under which the …
multivariate autoregressive (MAR) processes. Conditions are derived under which the …