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{
    "pk": 27193,
    "title": "Translating a Reinforcement Learning Task into a Computational Psychiatry Assay:\nChallenges and Strategies",
    "subtitle": null,
    "abstract": "Computational psychiatry applies advances from\ncomputational neuroscience to psychiatric disorders. A core\naim is to develop tasks and modeling approaches that can\nadvance clinical science. Special interest has centered on\nreinforcement learning (RL) tasks and models. However,\nlaboratory tasks in general often have psychometric\nweaknesses and RL tasks pose special challenges. These\nchallenges must be addressed if computational psychiatry is to\ncapitalize on its promise of developing sensitive, replicable\nassays of cognitive function. Few resources identify these\nchallenges and discuss strategies to mitigate them. Here, we\nfirst overview general psychometric challenges associated with\nlaboratory tasks, as these may be unfamiliar to cognitive\nscientists. Next, we illustrate how these challenges interact\nwith issues specific to RL tasks, in the context of presenting a\ncase example of preparing an RL task for computational\npsychiatry. Throughout, we highlight how considering\nmeasurement issues prior to a clinical science study can inform\nstudy design.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [
        {
            "word": "computational modeling; reinforcement learning;\nmeasurement; psychometrics; computational psychiatry"
        }
    ],
    "section": "Posters: Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/1j2659n8",
    "frozenauthors": [
        {
            "first_name": "Peter",
            "middle_name": "",
            "last_name": "Hitchcock",
            "name_suffix": "",
            "institution": "Drexel University",
            "department": ""
        },
        {
            "first_name": "Angela",
            "middle_name": "",
            "last_name": "Radulescu",
            "name_suffix": "",
            "institution": "Princeton University",
            "department": ""
        },
        {
            "first_name": "Yael",
            "middle_name": "",
            "last_name": "Niv",
            "name_suffix": "",
            "institution": "Princeton University",
            "department": ""
        },
        {
            "first_name": "Chris",
            "middle_name": "R.",
            "last_name": "Sims",
            "name_suffix": "",
            "institution": "Drexel University",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "2017-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/27193/galley/16829/download/"
        }
    ]
}