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{
    "pk": 29708,
    "title": "A Simple Computational Model of Salience Map Formation in the Brain",
    "subtitle": null,
    "abstract": "Many convolutional neural network (CNN)-based approaches are excellent functional models of visual attention, but lackcognitive and biological interpretations. In this work, I offer novel, cross-disciplinary justification for the Deep Gaze 1model, which calculates salience as a weighted average of feature maps from a pre-trained CNN. In the cognitive realm,experiments demonstrate that visual attention depends on multiple levels of real-world features (edges, text, faces). Thisis well-modeled using features from a naturalistically-trained CNN. Furthermore, neuroscience research strongly suggeststhat visual attention is computed in the superior colliculus, using information from multiple levels of the ventral visualstream; all information flow in Deep Gaze follows analogous pathways. To encourage broader adoption of this model,whose source code remains unpublished, I offer a readable implementation with minor changes for biological plausibility.It is validated on the MIT1003 dataset using features from MobileNetV2, with results comparable to the original DeepGaze.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Poster Session 1",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/9gn5c3gn",
    "frozenauthors": [
        {
            "first_name": "Abe",
            "middle_name": "",
            "last_name": "Leite",
            "name_suffix": "",
            "institution": "Indiana University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2020-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/29708/galley/19565/download/"
        }
    ]
}