Article

NeuroPupil: A generalization-first framework for scalable and biologically informative cross-species pupillometry

2026-05-18

Abstract excerpt

<h4>ABSTRACT</h4> Quantitative pupillometry provides a noninvasive window into brain state and neurological function, but its broader use across experimental and clinical settings is limited by challenges in achieving accurate, scalable, and generalizable measurements. Here, we present NeuroPupil, a deep learning framework for high-throughput, cross-species pupillometry that emphasizes robust generalization acros...

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Literature Corpus work: edf44e2a-b6f5-5caa-b922-abbd04692ed2
DOI: 10.64898/2026.05.14.725098

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