{
  "abstract": "Two prominent accounts describe the functional organization of human high-level visual cortex. A categorical view emphasizes category-selective areas, while a dimensional view highlights continuous feature maps spanning these areas. Here, we asked whether these two views reflect complementary expressions of the same underlying organization. Using a data-driven decomposition of fMRI responses from human participants (female and male) in face-, body-, and scene-selective areas, we identified spatially overlapping activity patterns that were shared across individuals. Each area encoded multiple interpretable dimensions capturing both finer within-category and coarser between-category distinctions, even in the most category-selective voxels. These dimensions formed distinct clusters within category-selective areas but extended as distributed maps across visual cortex. Together, these findings reveal an underlying organization that links category-selective areas to continuous feature maps, thereby reconciling categorical and dimensional accounts of high-level visual cortex.",
  "abstract_shown": true,
  "affiliations": [
    "Department of Psychology, Justus Liebig University Giessen, Germany",
    "Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany",
    "Center for Mind, Brain and Behavior (CMBB), Universities of Marburg, Giessen, and Darmstadt, Germany",
    "Department of Medicine, Justus Liebig University Giessen, Germany",
    "Department of Mathematics and Computer Science, Physics, Geography, Justus Liebig University Giessen, Germany"
  ],
  "article_type": null,
  "arxiv": null,
  "author_total": 3,
  "authors": [
    {
      "affs": [
        0,
        1
      ],
      "name": "Leonard Elia van Dyck",
      "orcid": "0000-0002-6006-8539"
    },
    {
      "affs": [
        2,
        3,
        1
      ],
      "name": "Martin N. Hebart",
      "orcid": "0000-0001-7257-428X"
    },
    {
      "affs": [
        2,
        4
      ],
      "name": "Katharina Dobs",
      "orcid": "0000-0001-6619-5590"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/6s4sw82pppfb5.bib",
  "cited_by": 7,
  "doi": "10.1523/jneurosci.0038-26.2026",
  "fulltext_url": null,
  "id": "6s4sw82pppfb5",
  "issns": [
    "0270-6474",
    "1529-2401"
  ],
  "landing_url": "https://doi.org/10.1523/jneurosci.0038-26.2026",
  "language": "en",
  "licence": "CC-BY",
  "licence_label": "CC BY",
  "licence_source": "journal",
  "licence_url": "https://creativecommons.org/licenses/by/4.0/",
  "metadata_licence": null,
  "native_subjects": [
    [
      "openalex",
      "2805|Visual perception and processing mechanisms"
    ]
  ],
  "openalex": "W4411371039",
  "pdf_url": null,
  "pmcid": "PMC13446086",
  "pmid": "42309813",
  "published": "2026-06-17",
  "publisher": "Society for Neuroscience",
  "ris": "https://research.draconitic.com/paper/6s4sw82pppfb5.ris",
  "sources": [
    {
      "first_seen": "2026-10-30T13:26:53Z",
      "native_id": "W4411371039",
      "source": "openalex",
      "url": "https://doi.org/10.1523/jneurosci.0038-26.2026"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "openalex:2805|Visual perception and processing mechanisms",
      "subfield": "neuroscience"
    }
  ],
  "title": "Multidimensional Feature Tuning in Category Selective Areas of Human Visual Cortex",
  "title_text": "Multidimensional Feature Tuning in Category Selective Areas of Human Visual Cortex",
  "type": "peer-reviewed",
  "updated_at": "2026-11-07T13:20:55Z",
  "url": "https://research.draconitic.com/paper/6s4sw82pppfb5",
  "venue": "Journal of Neuroscience",
  "versions": []
}