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dc.contributor.advisorBernat, Edwarden_US
dc.contributor.authorTootell, Anneen_US
dc.date.accessioned2017-06-22T05:57:11Z
dc.date.available2017-06-22T05:57:11Z
dc.date.issued2016en_US
dc.identifierhttps://doi.org/10.13016/M2R286
dc.identifier.urihttp://hdl.handle.net/1903/19370
dc.description.abstractThe current study investigated the effect of action-outcome agency, or one’s ability to guide behavior during reinforcement learning, on reward and loss processing in a gambling task. Thirty undergraduates (13 females; M age = 19.57, SD = 2.18) completed two computer gambling tasks, one designed to exhibit high levels of action-outcome agency and one with low, while attached to a 128-channel EEG system. Time-frequency event-related potential (TF- ERP) analysis was conducted on the acquired EEG data. ERP components associated with reward and loss processing were significantly dampened in the low action-outcome agency task relative to the high action-outcome agency task. Interestingly, TF-ERP analysis demonstrated a significant effect of action-outcome agency on gain-loss differences in theta but not delta frequencies, suggesting a more central role of loss processing in guidance of goal-directed behavior. These results challenge components of the well-established predicted response-outcome (PRO) model of reinforcement learning.en_US
dc.language.isoenen_US
dc.titleEffects of Action-Outcome Agency on Feedback Processingen_US
dc.typeThesisen_US
dc.contributor.publisherDigital Repository at the University of Marylanden_US
dc.contributor.publisherUniversity of Maryland (College Park, Md.)en_US
dc.contributor.departmentPsychologyen_US
dc.subject.pqcontrolledCognitive psychologyen_US
dc.subject.pqcontrolledNeurosciencesen_US
dc.subject.pquncontrolledEEGen_US
dc.subject.pquncontrolledgoal-directed behavioren_US
dc.subject.pquncontrolledloss processingen_US
dc.subject.pquncontrolledreinforcement learningen_US
dc.subject.pquncontrolledreward processingen_US


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