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{
    "pk": 26331,
    "title": "Systems Factorial Analysis of Item and Associative Retrieval",
    "subtitle": null,
    "abstract": "Using hierarchical Bayesian estimation of RT distributions, wepresent a novel application of Systems Factorial Technology(Townsend & Nozawa, 1995) to the retrieval of item and asso-ciative information from episodic memory. We find that itemand associative information are retrieved concurrently, withpositive memory evidence arising from a holistic match be-tween the test pair and the contents of memory, in which bothitem and associative matches are pooled together into a sin-gle source. This retrieval architecture is inconsistent with bothstrictly serial processing and independence of item and asso-ciative information. Pooling of item and associative matchesimplies that while item and associative information may beseparable, they are not qualitatively different, nor are quali-tatively different processes (e.g., familiarity vs. recollection)used to retrieve these kinds of information.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Memory models; associative recognition; systemsfactorial technology; Bayesian statistics."
        }
    ],
    "section": "Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/0gj625m6",
    "frozenauthors": [
        {
            "first_name": "Gregory",
            "middle_name": "E.",
            "last_name": "Cox",
            "name_suffix": "",
            "institution": "Syracuse University",
            "department": ""
        },
        {
            "first_name": "Amy",
            "middle_name": "H.",
            "last_name": "Criss",
            "name_suffix": "",
            "institution": "Syracuse University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2016-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/26331/galley/15967/download/"
        }
    ]
}