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{
    "pk": 25860,
    "title": "A Theory of Information Processing for Large-Scale Brain Networks",
    "subtitle": null,
    "abstract": "How much information does a large-scale cortical network process when it’s conscious and/or unconscious? Can the\ncomplexity of such networks be quantified and be coupled to brain function and consciousness? Recently, measures of network\ncomplexity such as integrated information have been proposed. However, we show that these approaches are computationally\nintractable for realistic brain networks. We propose alternative quantifications that allow precise computations for large-scale\nnetworks including their stochastic dynamics, plasticity and perturbations. Even for stable stationary dynamics our measure\nshows that the processed information of a realistic network sharply rises at the edge of criticality. In particular, we demonstrate\nthat the specific topology of the human brain generates greater informational complexity compared to randomly rewired networks.\nWe analyze to what extent these results and their associated measures are specific to levels of consciousness or simply\na hallmark of how neuronal systems process information.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Member Abstracts",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/20z1524h",
    "frozenauthors": [
        {
            "first_name": "Xerxes",
            "middle_name": "",
            "last_name": "Arsiwalla",
            "name_suffix": "",
            "institution": "Universitat Pompeu Fabra",
            "department": ""
        },
        {
            "first_name": "Paul",
            "middle_name": "",
            "last_name": "Vershure",
            "name_suffix": "",
            "institution": "Universitat Pompeu Fabra & ICREA,",
            "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/25860/galley/15484/download/"
        }
    ]
}