Article Instance

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{
    "pk": 31763,
    "title": "Jumpnet: A Multiple-Memory Connectionist Architecture",
    "subtitle": null,
    "abstract": "A jumpnet includes two memory storage\nsystems: a processing network that employs\nsuperimpositional storage and a control\nnetwork that recodes input patterns into\nminimally overlapping hidden patterns. By\ncreating temporary, input-specific changes in\nthe weights of the processing network, the\ncontrol network causes the processing network to\n\"jvimp\" to the region of its weight space that is\nmost appropriate for a particular input pattern.\nSimulation results demonstrate that jumpnets\nexhibit only moderate levels of interference\nwhile retaining the computational advantages\nof superimpositional memory.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Submitted Presentations",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/2s03636r",
    "frozenauthors": [
        {
            "first_name": "Jay",
            "middle_name": "G.",
            "last_name": "Rueckl",
            "name_suffix": "",
            "institution": "Harvard University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1993-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/31763/galley/22831/download/"
        }
    ]
}