Article

Unsupervised Representation Learning Reveals Individualized Neurophysiological Profiles

2026-02-16

Abstract excerpt

Human brain activity contains stable, individual-specific features that persist over months to years, forming neurophysiological profiles. Most model-based profiling approaches use participant labels or supervised objectives, making it difficult to determine whether successful differentiation reflects stable biology or exploitable idiosyncrasies. We introduce a participant-agnostic autoencoder framework that deriv...

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Literature Corpus work: 956b86db-d0ad-5145-9ed9-d24391812a01
DOI: 10.64898/2026.02.10.705127

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