A new convolutional variational deep embedding model learns a generative latent manifold of EEG microstate topographies, offering soft cluster assignments ...
A transfer learning framework classified neonatal seizures from EEG topographic maps, with ResNet-18 reaching 97.1 percent subject-wise accuracy on unseen ...
A new model that estimates and subtracts the light-driven component of pupil size turned an almost useless arousal signal into ...
A Brain Informatics study used conditional Granger causality on EEG recordings to show sleep-specific causal network disruption in seizures provoked ...
A new framework aligns SHAP explanations of brain age gaps with each subject's chronological age and flags unreliable attributions.
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