{"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/"}]}