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{ "pk": 28258, "title": "Exploring model-based versus model-free pupillometry correlates to reinforcement learning parameters", "subtitle": null, "abstract": "While many recent studies have successfully used reinforcement learning (RL) frameworks to explain large portions ofvariance within neurobiological and decision-making datasets, the relatability of such models to the true mechanisms anddynamics underlying human learning, cognition, and behavior is arguably still quite limited–in part due to the exclusion ofwell-defined mechanisms controlling the dynamics of sensory-model updating (particularly during exploratory behavior)and sensory-model extraction (for use of exploitative behavior) processes. In an attempt to mend this gap, the currentstudy investigates the diameter of the pupil as a potential signature of both ongoing sensory-model updating and sensory-model extraction processes. With the use of a hybrid Q-learning model, these hypothesized correlates are found to accountfor discrepancies in pupil diameter between model-based and model-free learning strategies during exploratory and ex-ploitative behavior, and simultaneously frame human learning experience as a dynamic interplay between sensory-modelupdating and recollection processes.", "language": "eng", "license": { "name": "", "short_name": "", "text": null, "url": "" }, "keywords": [], "section": "Abstracts-Posters", "is_remote": true, "remote_url": "https://escholarship.org/uc/item/0cf8s8dj", "frozenauthors": [ { "first_name": "Chris", "middle_name": "", "last_name": "Endemann", "name_suffix": "", "institution": "University of Wisconsin - Madison", "department": "" } ], "date_submitted": null, "date_accepted": null, "date_published": "2018-01-01T18:00:00Z", "render_galley": null, "galleys": [ { "label": "PDF", "type": "pdf", "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/28258/galley/17917/download/" } ] }