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{
    "pk": 30465,
    "title": "Skill Learning and Repitiation Priming In Symmetry Detection: Parallel Studies of Human Subjects and Connectionist Models",
    "subtitle": null,
    "abstract": "The present paper is a preliminary report of our work exploring\nskill learning and repetition priming in parallel studies of\nmirror symmetry detection in humans and network models. The\nmemory mechanisms supporting the acquisition of skill and\nrepetition priming in humans have been the subject of much\nspeculation. On one account, drawing on the distinction between\nprocedural and declarative learning, these learning phenomena grow\nout of experience-based tuning and reorganization of processing\nmodules engaged by performance in a given domain, in a manner that\nis intimately tied to the operation of those modules. Such\nlearning appears similar to that suggested by the Incremental\nlearning algorithms currently being explored in massively-parallel\nconnectionist models (e.g., the Boltzmann machine). In the\npresent work, both learning phenomena were observed in the\nbehavioral data from human subjects and the simulation data from\nthe network models. The network models showed priming effects\nfrom the start of de novo learning despite being designed to\nhandle generalization to new materials - the essence of skill\nlearning - and without additional mechanisms designed to provide a\ntemporary advantage for recently presented material. Priming\noccurred for the human subjects despite the use of novel materials\nfor which pre-existing representations cannot already be present\nin memory. These findings support the notion that skill learning\nand repetition priming are linked to basic incremental learning\nmechanisms that serve to configure and reorganize processing\nmodules engaged by experience.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Presented Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/7r48n3g6",
    "frozenauthors": [
        {
            "first_name": "Neal",
            "middle_name": "J.",
            "last_name": "Cohen",
            "name_suffix": "",
            "institution": "Johns Hopkins University",
            "department": ""
        },
        {
            "first_name": "Irene",
            "middle_name": "T.",
            "last_name": "Abrams",
            "name_suffix": "",
            "institution": "Johns Hopkins University",
            "department": ""
        },
        {
            "first_name": "Walter",
            "middle_name": "S.",
            "last_name": "Harley",
            "name_suffix": "",
            "institution": "Johns Hopkins University",
            "department": ""
        },
        {
            "first_name": "Lisa",
            "middle_name": "",
            "last_name": "Tabor",
            "name_suffix": "",
            "institution": "Johns Hopkins University",
            "department": ""
        },
        {
            "first_name": "Terrence",
            "middle_name": "J.",
            "last_name": "Sejnowski",
            "name_suffix": "",
            "institution": "Johns Hopkins University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1986-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/30465/galley/20314/download/"
        }
    ]
}