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{
    "pk": 27153,
    "title": "A Neural Network Model for Taxonomic Responding with Realistic Visual Inputs",
    "subtitle": null,
    "abstract": "We propose a neural network model that accounts for the emer-gence of the taxonomic constraint in early word learning. Ourproposal is based on Mayor and Plunkett (2010)’s neurocom-putational model of the taxonomic constraint and overcomesone of its limitations, namely the fact that it considers arti-ficially built, simplified stimuli. In fact, while in the originalmodel the visual stimuli are random, sparse dot patterns, in ourproposed solution they are photographic images from the Im-ageNet database. In our model the represented objects in theimage can be of different size, color, location in the picture,point of view, etc.. We show that, notwithstanding the aug-mented complexity in the input, the proposed model comparesfavorably with respect to Mayor and Plunkett (2010)’s model.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Posters: Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/1vg4s7j2",
    "frozenauthors": [
        {
            "first_name": "Giorgia",
            "middle_name": "",
            "last_name": "Fenoglio",
            "name_suffix": "",
            "institution": "University of Torino",
            "department": ""
        },
        {
            "first_name": "Roberto",
            "middle_name": "",
            "last_name": "Esposito",
            "name_suffix": "",
            "institution": "University of Torino",
            "department": ""
        },
        {
            "first_name": "Valentina",
            "middle_name": "",
            "last_name": "Gliozzi",
            "name_suffix": "",
            "institution": "University of Torino",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2017-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27153/galley/16789/download/"
        }
    ]
}