Pupil-DLC: An open-source deep learning pipeline for scalable, marker-less tracking of pupil dynamics across conscious and unconscious states.
- DOI
- 10.1016/j.jneumeth.2026.110848
- Published
- 2026 Nov
- Container
- Journal of neuroscience methods
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1016/j.jneumeth.2026.110848,
title = {Pupil-DLC: An open-source deep learning pipeline for scalable, marker-less tracking of pupil dynamics across conscious and unconscious states.},
author = {Seyfourian P and Marks LC and Claar LD and Nahas Y and Keating M and Koch C and Rembado I},
year = {2026},
journal = {Journal of neuroscience methods},
doi = {10.1016/j.jneumeth.2026.110848},
url = {https://doi.org/10.1016/j.jneumeth.2026.110848}
}RIS
TY - JOUR TI - Pupil-DLC: An open-source deep learning pipeline for scalable, marker-less tracking of pupil dynamics across conscious and unconscious states. AU - Seyfourian P AU - Marks LC AU - Claar LD AU - Nahas Y AU - Keating M AU - Koch C AU - Rembado I PY - 2026 JO - Journal of neuroscience methods DO - 10.1016/j.jneumeth.2026.110848 UR - https://doi.org/10.1016/j.jneumeth.2026.110848 ER -
APA
P, S., LC, M., LD, C., Y, N., M, K., C, K., & I, R. (2026). Pupil-DLC: An open-source deep learning pipeline for scalable, marker-less tracking of pupil dynamics across conscious and unconscious states.. Journal of neuroscience methods. https://doi.org/10.1016/j.jneumeth.2026.110848
Source records
- pubmed · retrieved 2026-09-25T21:17:47.967Z
- europe-pmc · retrieved 2026-09-25T21:17:47.983Z