Article Instance

HTTP 200 OK
Allow: GET
Content-Type: application/json
Vary: Accept

{
    "pk": 24341,
    "title": "Double Dissociations Emerge in a Flat Attractor Network",
    "subtitle": null,
    "abstract": "Double dissociations were long considered a gold standard\nfor establishing functional modularity. However, Plaut (1995)\ndemonstrated that double dissociations could result without\nunderlying modularity. He damaged attractor networks with\nseparate orthographic and semantic layers (as well as a hid-\nden layer with feedback connections from semantics) that were\ntrained to map orthography to semantics. Damaging con-\nnections coming from either the orthographic layer or recur-\nrent semantic connections (to and from cleanup units) could\nboth yield double dissociations, with some models exhibit-\ning greater relative deficits for abstract words, and others for\nconcrete words. We investigated whether double dissocia-\ntions would emerge in a simpler attractor network with 2 sets\nof units (orthographic and semantic) and 2 layers of connec-\ntions (orthographic-to-semantic and recurrent semantic con-\nnections). Random damage to orthographic-semantic con-\nnections yielded double dissocations (some damaged mod-\nels showed stronger relative deficits for abstract words, while\nothers showed stronger relative deficits for concrete words).\nSemantic-semantic damage led only to concrete deficits. The\npresence of double dissociations given different degrees of\ndamage in each model reconfirm Plaut's (1995) findings in\nsimpler, “flat” attractor network (O'Connor, Cree, & McRae,\n2009), with less potential for modularity. The tendency for\nconcrete impairments given damage to the semantic attractor\nlevel is at once surprising and revealing; it demonstrates a di-\nvision of labor (and partial modularity) that emerges in this\nnetwork. We will discuss theoretical implications, as well as\nnext steps in this research program.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Cognitive Neuroscience; cognitive neuropsychology; Computational Modeling; Computational neuroscience"
        }
    ],
    "section": "Papers with Poster Presentation",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/94f2t1kd",
    "frozenauthors": [
        {
            "first_name": "Ihintza",
            "middle_name": "",
            "last_name": "Malharin",
            "name_suffix": "",
            "institution": "BCBL: Basque Center on Cognition, Brain and Language",
            "department": ""
        },
        {
            "first_name": "Simona",
            "middle_name": "",
            "last_name": "Mancini",
            "name_suffix": "",
            "institution": "Basque Center on Cognition, Brain and Language",
            "department": ""
        },
        {
            "first_name": "James",
            "middle_name": "",
            "last_name": "Magnuson",
            "name_suffix": "",
            "institution": "University of Connecticut",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2024-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/24341/galley/13938/download/"
        },
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/24341/galley/21108/download/"
        }
    ]
}