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{
    "pk": 25951,
    "title": "Topological Relations between Objects Are Categorically Coded",
    "subtitle": null,
    "abstract": "The visual system, like the brain more broadly, relies heavily on categorical representations. It is easier to spot a\nvisual difference that crosses a category boundary, e.g., between blue and green, or between vertical and oblique. Here we show\nthat topological relations between objects are similarly categorical. When asked to detect changes between object arrangements,\nparticipants were better at detecting those changes that crossed hypothesized category boundaries, such as ’overlapping’, or\n’touching’, compared to equally-sized changes that did not. These effects were magnified at increased memory load, presumably\nbecause this categorization forms a more efficient code. This finding, consistent with previous computational modeling work,\nsuggests that categorical relations are critical for remembering and comparing complex images.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Member Abstracts",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/32j562bf",
    "frozenauthors": [
        {
            "first_name": "Andrew",
            "middle_name": "",
            "last_name": "Lovett",
            "name_suffix": "",
            "institution": "Northwestern University",
            "department": ""
        },
        {
            "first_name": "Steve",
            "middle_name": "",
            "last_name": "Franconeri",
            "name_suffix": "",
            "institution": "Northwestern University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2015-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/25951/galley/15575/download/"
        }
    ]
}