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{
    "pk": 29869,
    "title": "Disentangling Generativity in Visual Cognition",
    "subtitle": null,
    "abstract": "Human knowledge is generative: from everyday learning people extract latent features that can recombine to producenew imagined forms. This ability is critical to cognition, but its computational bases remain elusive. Recent researchwith -regularized Variational Autoencoders (-VAE) suggests that generativity in visual cognition may depend on learningdisentangled (localist) feature representations. We tested this proposal by training -VAEs and standard autoencoders toreconstruct bitmaps showing a single object varying in shape, size, location, and color, and manipulating hyperparame-ters to produce differentially-entangled feature representations. These models showed variable generativity, with somestandard autoencoders capable of near-perfect reconstruction of 43 trillion images after training on just 2000. However,constrained -VAEs were unable to reconstruct images reflecting feature combinations which were systematically withheldduring training (e.g. all blue circles). Thus, deep auto-encoders may provide a promising tool for understanding visualgenerativity and potentially other aspects of visual cognition.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Poster Session 2",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/5nd9k6hw",
    "frozenauthors": [
        {
            "first_name": "Declan",
            "middle_name": "",
            "last_name": "Campbell",
            "name_suffix": "",
            "institution": "University of Wisconsin – Madison",
            "department": ""
        },
        {
            "first_name": "Timothy",
            "middle_name": "",
            "last_name": "Rogers",
            "name_suffix": "",
            "institution": "University of Wisconsin – Madison",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2020-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/29869/galley/19723/download/"
        }
    ]
}