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electroencephalography

topic2 events

papersTODAY 04:00 UTC

Checkpoint Selection and Evaluation in EEG Emotion Recognition

A study examines how choosing model checkpoints can inflate reported electroencephalography-based emotion recognition scores without any real gain in trial-level performance. The authors compare selection and scoring across separate trial pools along fixed training trajectories. The findings suggest that same-session evaluation practices can distort benchmark comparisons in this field.

eeg/evaluation/benchmark/methodology

papersSEP 10 04:00 UTC

EEGBind: EEG-centric multimodal model for source-level epilepsy discharge detection

Researchers have introduced EEGBind, a machine learning approach centered on EEG signals that aims to localize interictal epileptiform discharges at their source rather than simply flagging their presence. Knowing where such activity likely originates matters for presurgical evaluation and treatment planning in epilepsy. The work appears as a new preprint on arXiv in the machine learning category.

healthcare/eeg/multimodal/epilepsy