{
  "abstract": "Social behavior is a sensitive readout of brain state, but quantifying rodent social behavior at scale has relied on siloed, lab-specific tools. We assembled Days of our Mice (DooM), a benchmark of manually annotated video and pose tracking spanning 15 laboratories and 33 social and solitary behaviors, and hosted a community behavior classification challenge. We built on challenge solutions to develop the High-Dimensional Rodent Annotator (HiDRA), a behavior classification tool that generalizes to labs unseen during training and learns cross-lab movement features. Applied without retraining to experimental data, HiDRA resolves line-specific and state-dependent behavioral fingerprints with strong generalizability and reproducibility, establishing high-resolution, shareable social phenotyping as a scalable readout of brain and internal state. We release the DooM dataset and HiDRA classifiers as open resources.",
  "abstract_shown": true,
  "affiliations": [
    "The Scripps Research Institute"
  ],
  "article_type": "New results",
  "arxiv": null,
  "author_total": 10,
  "authors": [
    {
      "name": "M. Marks"
    },
    {
      "name": "R. Yang"
    },
    {
      "name": "Z. Liu"
    },
    {
      "name": "R. Ye"
    },
    {
      "name": "L. K. Scaria"
    },
    {
      "name": "S. A. Golden"
    },
    {
      "name": "J. J. Sun"
    },
    {
      "name": "T. Pereira"
    },
    {
      "affs": [
        0
      ],
      "name": "A. Kennedy"
    },
    {
      "name": "The Days of our Mice Consortium"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/76hzdn04zd3hf.bib",
  "cited_by": 0,
  "doi": "10.64898/2026.10.18.758876",
  "fulltext_url": "https://www.biorxiv.org/content/10.64898/2026.10.18.758876v1.full",
  "id": "76hzdn04zd3hf",
  "issns": [],
  "landing_url": "https://www.biorxiv.org/content/10.64898/2026.10.18.758876v1",
  "language": null,
  "licence": "CC-BY-NC",
  "licence_label": "CC BY-NC",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by-nc/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "biorxiv",
      "neuroscience"
    ],
    [
      "openalex",
      "1707|Human Pose and Action Recognition"
    ]
  ],
  "openalex": "W7223022484",
  "pdf_url": "https://www.biorxiv.org/content/10.64898/2026.10.18.758876v1.full.pdf",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-18",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/76hzdn04zd3hf.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T12:28:41Z",
      "native_id": "10.64898/2026.10.18.758876",
      "source": "biorxiv",
      "url": "https://www.biorxiv.org/content/10.64898/2026.10.18.758876v1"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "biorxiv:neuroscience",
      "subfield": "neuroscience"
    }
  ],
  "title": "A community benchmark enables high-resolution, cross-lab quantification of mouse social behavior",
  "title_text": "A community benchmark enables high-resolution, cross-lab quantification of mouse social behavior",
  "type": "preprint",
  "updated_at": "2026-10-30T12:28:41Z",
  "url": "https://research.draconitic.com/paper/76hzdn04zd3hf",
  "venue": "bioRxiv",
  "versions": []
}