Annual Research Review: Developmental pathways linking early behavioral inhibition to later anxiety
Behavioral Inhibition is a temperament identified in the first years of life that enhances the
risk for development of anxiety during late childhood and adolescence. Amongst children …
risk for development of anxiety during late childhood and adolescence. Amongst children …
Machine learning algorithms for epilepsy detection based on published EEG databases: A systematic review
Epilepsy is the only neurological condition for which electroencephalography (EEG) is the
primary diagnostic and important prognostic clinical tool. However, the manual inspection of …
primary diagnostic and important prognostic clinical tool. However, the manual inspection of …
Brant: Foundation model for intracranial neural signal
We propose a foundation model named Brant for modeling intracranial recordings, which
learns powerful representations of intracranial neural signals by pre-training, providing a …
learns powerful representations of intracranial neural signals by pre-training, providing a …
Applying neural networks with time-frequency features for the detection of mental fatigue
The detection of mental fatigue is an important issue in the nascent field of
neuroergonomics. Although machine learning approaches and especially deep learning …
neuroergonomics. Although machine learning approaches and especially deep learning …
Challenges and new perspectives of developmental cognitive EEG studies
Despite shared procedures with adults, electroencephalography (EEG) in early
development presents many specificities that need to be considered for good quality data …
development presents many specificities that need to be considered for good quality data …
Epileptic seizure detection based on variational mode decomposition and deep forest using EEG signals
Electroencephalography (EEG) records the electrical activity of the brain, which is an
important tool for the automatic detection of epileptic seizures. It is certainly a very heavy …
important tool for the automatic detection of epileptic seizures. It is certainly a very heavy …
[HTML][HTML] Rhythmic visual stimulation as a window into early brain development: A systematic review
Rhythmic visual stimulation (RVS), the periodic presentation of visual stimuli to elicit a
rhythmic brain response, is increasingly applied to reveal insights into early neurocognitive …
rhythmic brain response, is increasingly applied to reveal insights into early neurocognitive …
Towards complex multi-component pulse signal with strong noise: Deconvolution and time–frequency assisted mode decomposition
G Shi, C Qin, Z Zhang, J Tao, C Liu - Mechanical Systems and Signal …, 2024 - Elsevier
Pulse signal is a kind of signal with large amplitude in a short time, which widely exists in the
real world, such as vibration signals of rotating machinery, EEG signals and ECG signals …
real world, such as vibration signals of rotating machinery, EEG signals and ECG signals …
Graph Neural Networks on SPD Manifolds for Motor Imagery Classification: A Perspective From the Time–Frequency Analysis
The motor imagery (MI) classification has been a prominent research topic in brain–
computer interfaces (BCIs) based on electroencephalography (EEG). Over the past few …
computer interfaces (BCIs) based on electroencephalography (EEG). Over the past few …
[HTML][HTML] Maximizing the potential of EEG as a developmental neuroscience tool
Electroencephalography (EEG) is a relatively low-cost and non-invasive method for directly
measuring brain activity, well-suited for capturing real-time neural information across the …
measuring brain activity, well-suited for capturing real-time neural information across the …