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{
    "pk": 25750,
    "title": "Attention and Pattern Consciousness Reorganize the Cortical Topography of Event-\nRelated Potential Correlates of Visual Sequential Learning.",
    "subtitle": null,
    "abstract": "Statistical or sequential learning (SL) involves\ncomprehending environmental patterns in which some items\nprecede other items with a given likelihood. SL is thought to\noccur without attention or consciousness (or explicit\nknowledge) of the learned patterns and thus is sometimes\nconsidered to be implicit learning. However, this assumption\nis still debatable (Daltrozzo & Conway, 2014). We examined\nthe role of selective attention and pattern consciousness (PC)\nin SL using event-related potentials (ERP) with healthy\nadults. Thirty-four participants (27 females, 18-49 years)\nperformed a Flanker task to assess their level of selective\nattention, followed by a visual SL task while ERPs were\nrecorded. Participants’ level of PC was assessed via a\nquestionnaire. In the SL task, participants viewed a sequence\nof different stimuli on the screen and were instructed to press\na button as fast as possible, when they saw a target stimulus.\nThey were unaware that: 1.) two predictor items were\nembedded in the sequence and 2.) the items predicted target\noccurrence with high or low probability. ERPs were timelocked\nto predictor onsets. The mean ERP between 200 and\n700ms post-predictor onset revealed an interaction between\ntarget occurrence probability, PC, attention, and two scalp\ntopographic factors. Post-hoc tests indicated that higher\nattention was related to a more rostral left lateralized effect\nunder high PC and a left lateralization of SL ERP effects\nunder low PC. These neural findings suggest that both\nattention and PC modulate SL.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "Implicit; explicit; left lateralization; statistical\nlearning; language; automatic; controlled; sequence learning"
        }
    ],
    "section": "Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/6j15m001",
    "frozenauthors": [
        {
            "first_name": "Sonia",
            "middle_name": "",
            "last_name": "Singh",
            "name_suffix": "",
            "institution": "Georgia State University",
            "department": ""
        },
        {
            "first_name": "Jerome",
            "middle_name": "",
            "last_name": "Daltrozzo",
            "name_suffix": "",
            "institution": "Georgia State University",
            "department": ""
        },
        {
            "first_name": "Christopher",
            "middle_name": "M",
            "last_name": "Conway",
            "name_suffix": "",
            "institution": "Georgia State University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2015-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/25750/galley/15374/download/"
        }
    ]
}