arXiv: cs.AI preprintsInternational5 November 2026
Quantifying Trait-State Hierarchy in EEG Foundation Model and Signal Processing Embeddings
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arXiv:2611.05652v1 Announce Type: new Abstract: Electroencephalography (EEG) measures brain activity through recording electrical potentials of the scalp. EEG recordings capture two distinct sets of characteristics in the signal: (1) \emph{Traits} -- information that remains relatively constant over the course of a recording session, such as subject identity, age, and sex; (2) \emph{States} -- signatures that encode responses to external stimuli, including visual, auditory, and motor information. There is limited understanding of how different EEG modeling features (signal processing and found
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