$EEG eeg

Latest papers

1. NeuroDETR: Multiscale Discrete Spatiotemporal Tokenization for Asynchronous EEG Event Detection cs.LG · 14 Oct · 4 hits

   Asynchronous EEG event detection supports practical brain-computer interfaces by identifying event classes and temporal…

2. EEG Correlates of Verbal and Perceptual Reasoning q-bio.NC · 14 Oct · 5 hits

   …high extremes of intelligence, and most use only a single composite IQ score. This study used quantitative EEG recordings to investigate correlations between the EEG variables of individual alpha peak frequency,…

3. TEX-MEX: Similarity-Guided Temporal Contrastive Learning for Time Series cs.LG · 14 Oct · 1 hit

   …away from those of dissimilar ones, learning what typically accompanies similar windows in time. Across PPG, EEG, ECG, accelerometry, and continuous glucose monitoring, TEX-MEX broadly achieves state-of-the-art…

4. Moving Beyond the Flat Screen: Opportunities and Challenges of Extended Reality for Studying Human Brain and Behavior cs.HC · 13 Oct · 2 hits

   …complex responses reduced to simple button presses, and brain activity recorded from immobilized heads using EEG or fMRI. These highly controlled paradigms have provided remarkable insights, but capture a small and…

5. Merit: Making every modality earn its contribution in multimodal attention decoding cs.LG · 13 Oct · 2 hits

   …needed. A multimodal decoder must use these signals without letting them replace the electroencephalogram (EEG). Accuracy alone cannot show whether it does. We present MERIT, a decoder and evaluation method asking:…

6. On Sleep-Wake Disorder Identification from Polysomnographic Representations cs.LG · 12 Oct · 1 hit

   …and circadian disorder groups in 7,906 PSGs from an unseen registry. Although PSG FMs outperformed an EEG-only, single-cohort supervised baseline, this ordering reversed when supervised pretraining approached…

7. Brain2Face: A Study on the Relation of EEG Signals and Spatio-temporal Head Avatars cs.CV · 12 Oct · 8 hits

   …head geometry and appearance can be performed solely from brain signals, i.e., Electroencephalography (EEG). Since prior work mostly focused on activity and emotion recognition, this task is relatively unexplored…

8. Time Window Optimization for Motor Imagery Classification via Temporal Structure Embedded Reinforcement Learning cs.NE · 12 Oct · 1 hit

   Online motor imagery-based brain-computer interfaces (MI-BCIs) typically decode continuous EEG using fixed-length sliding windows that may be misaligned with neural events. Existing window…