{
  "abstract": "Animals integrate information over time and maintain persistent internal representations of cues to guide decision-making. How the underlying behavioral algorithms of individual animals depend on factors such as experience, developmental stage, or genotype remains poorly understood. Drift-diffusion models provide a powerful theoretical framework to describe and predict performance metrics across a wide range of species. The stochastic nature of these models and the typically limited throughput of most experimental designs challenge the automatic inference of latent variables. Here, we combine high-throughput behavioral assays in larval zebrafish with drift-diffusion modeling, revealing that larvae progressively develop more persistent, self-reinforcing integration dynamics during early development. This effect is reduced in fish carrying mutations in genes linked to human epilepsy and schizophrenia. Our results show that behavior-based drift-diffusion modeling can offer a scalable, automated approach to generate experimentally testable hypotheses about the algorithmic implementation of sensorimotor integration in health and disease.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": "research article",
  "arxiv": null,
  "author_total": 3,
  "authors": [
    {
      "name": "Roberto Garza",
      "orcid": "0009-0007-7416-260X"
    },
    {
      "name": "Ahmed El Hady",
      "orcid": "0000-0002-0045-8017"
    },
    {
      "name": "Armin Bahl",
      "orcid": "0000-0001-7591-5860"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/03arc8ps40e26.bib",
  "cited_by": 0,
  "doi": "10.1038/s42003-026-11264-y",
  "fulltext_url": "https://pmc.ncbi.nlm.nih.gov/articles/PMC13723567/",
  "id": "03arc8ps40e26",
  "issns": [
    "2399-3642"
  ],
  "landing_url": "https://www.nature.com/articles/s42003-026-11264-y",
  "language": "en",
  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
  "licence_source": "article",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "heading",
      "Article"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://www.nature.com/articles/s42003-026-11264-y.pdf",
  "pmcid": "PMC13723567",
  "pmid": "42966776",
  "published": "2026-10-29",
  "publisher": "Springer Science and Business Media LLC",
  "ris": "https://research.draconitic.com/paper/03arc8ps40e26.ris",
  "sources": [
    {
      "first_seen": "2026-11-01T00:20:32Z",
      "native_id": "10.1038/s42003-026-11264-y",
      "source": "crossref",
      "url": "https://www.nature.com/articles/s42003-026-11264-y"
    },
    {
      "first_seen": "2026-11-04T12:22:10Z",
      "native_id": "PMC13723567",
      "source": "pmc",
      "url": "https://doi.org/10.1038/s42003-026-11264-y"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "issn:2399-3642",
      "subfield": "general"
    }
  ],
  "title": "Developmental and genetic modulation of evidence integration dynamics in zebrafish sensorimotor decision-making",
  "title_text": "Developmental and genetic modulation of evidence integration dynamics in zebrafish sensorimotor decision-making",
  "type": "peer-reviewed",
  "updated_at": "2026-11-04T12:22:10Z",
  "url": "https://research.draconitic.com/paper/03arc8ps40e26",
  "venue": "Communications Biology",
  "versions": []
}