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{
    "pk": 27786,
    "title": "Object Recognition when Features Arrive Dynamically",
    "subtitle": null,
    "abstract": "We report a model for object identification based on an exper-\niment that varies the arrival times of different features of the\nobjects. A single object, a circle with four spokes extending\nin different directions, is presented and must be classified as\neither one of four well trained target stimuli, or one of four\nwell trained foil stimuli. The features (spokes) are presented\neither simultaneously or successively at intervals of 16, 33, or\n50 ms., with target diagnostic features arriving first or last. All\ndurations are short enough that the display appears simultane-\nous. The data show that individual decisions vary with both\ntiming and diagnosticity. We apply a dynamic model based on\none reported in (Cox & Shiffrin, 2017) for episodic recognition\nmemory. Our model assumes features are perceived at vary-\ning times following presentation, possibly in error. At each\nmoment the current features are compared to the well learned\nmemory representations of the eight stimuli, producing a like-\nlihood ratio for target vs foil. A decision is made when the log\nlikelihood first exceeds a target decision boundary or falls be-\nlow a foil decision boundary. The model implements a form of\nBayesian optimal decision making given the assumptions con-\ncerning feature perception. It predicts the key findings quite\nwell.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Response time modeling"
        },
        {
            "word": "Dynamic stimuli"
        },
        {
            "word": "visual search"
        },
        {
            "word": "object recognition"
        },
        {
            "word": "Feature sampling"
        }
    ],
    "section": "Publication-based-Talks",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/9qs4q11n",
    "frozenauthors": [
        {
            "first_name": "Samuel",
            "middle_name": "M",
            "last_name": "Harding",
            "name_suffix": "",
            "institution": "Indiana",
            "department": ""
        },
        {
            "first_name": "Richard",
            "middle_name": "M",
            "last_name": "Shiffrin",
            "name_suffix": "",
            "institution": "Indiana",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2018-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27786/galley/17426/download/"
        }
    ]
}