The encoding of model-based control signals in rat anterior cingulate cortex

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dc.contributor.authorMashhoori, Ali
dc.contributor.authorUniversity of Lethbridge. Faculty of Arts and Science
dc.contributor.supervisorGruber, Aaron J.
dc.date.accessioned2021-03-05T15:24:40Z
dc.date.available2021-03-05T15:24:40Z
dc.date.issued2021
dc.degree.levelPh.Den_US
dc.description.abstractThe anterior cingulate cortex (ACC) has been implicated in a wide variety of behaviours. Yet, a comprehensive theory of the ACC function is lacking. A promising theory is that ACC uses information from past experience to create predictive mental models that guide future response selection – that is the ACC is a model-based controller. This thesis tests the key hypotheses supporting this theory in two separate tasks. The results of the first experiment show that ACC tracks a rat’s state with high spatiotemporal resolution during a binary-choice task. The results of the second task demonstrate that ACC neurons encode several abstract features of a task, including information about the block structure of the task. Together the results suggests that the schema in the ACC is to reconfigure in order to reflect abstract rules of the task, which is essential for optimizing future response selection.en_US
dc.identifier.urihttps://hdl.handle.net/10133/5843
dc.language.isoen_USen_US
dc.proquest.subjectNeurosciences [0317]en_US
dc.proquest.subjectBehavioral sciences [0602]en_US
dc.proquest.subjectBiology [0306]en_US
dc.proquestyesYesen_US
dc.publisherLethbridge, Alta. : University of Lethbridge, Dept. of Neuroscienceen_US
dc.publisher.departmentDepartment of Neuroscienceen_US
dc.publisher.facultyArts and Scienceen_US
dc.relation.ispartofseriesThesis (University of Lethbridge. Faculty of Arts and Science)en_US
dc.subjectAnimal memoryen_US
dc.subjectAttentionen_US
dc.subjectBehavior, Animalen_US
dc.subjectBrain Anatomyen_US
dc.subjectCognitionen_US
dc.subjectDecision makingen_US
dc.titleThe encoding of model-based control signals in rat anterior cingulate cortexen_US
dc.typeThesisen_US
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