arXiv Machine Learning July 9, 2026 By Roy Segal, Yoni Svechinsky, Tomer Fekete

STST-JEPA: Shallow-Target Spatio-Temporal Joint Embedding Prediction Architecture For EEG Self-Supervised Learning

Read the original on arXiv Machine Learning →

arXiv:2607. 06629v1 Announce Type: new Abstract: Brain age -- the age inferred from a physiological recording -- is an emerging biomarker whose deviation from chronological age tracks neurological and psychiatric burden, and EEG is an attractive substrate for it because it is cheap, portable, and temporally rich.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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