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Brendan P. W. Ames

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#machine learning Preprint Oct 2026

Contrastive Neural Embeddings Reveal Individual Traits Beyond Conversational Role

CEBRA is applied to EEG recorded from dyads in conversation, and the resulting embedding indicates a manifold organized by individual -- and, in contrast with current neurolinguistics models, almost invariant to speaking vs. listening.

Hubert Huang, Michelle McCleod, Brendan P. W. Ames et al. · 0 citations