An EEG Analysis: The Temporal Dynamics of Episodic Memory in the Parietal Cortex

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dc.contributor.authorBack, Ariel Nicole
dc.date.accessioned2019-11-07T16:06:01Z
dc.date.available2019-11-07T16:06:01Z
dc.date.issued2019
dc.description51 pages
dc.description.abstractRecently fMRI studies by Kuhl and Chun (2014) demonstrated that the lateral parietal cortex (LPC) is implicated in content reactivation through recall-related activity patterns. The LPC signals that memories have been successfully recalled and it actively represents the content that is being remembered. However, given that fMRI reports data spatially, there is a lack of information regarding the temporal nature of recognition during memory retrieval. By conducting a test of episodic memory via EEG and examining the time course of memory retrieval, this project used decoding classification to investigate when in time the brain processes information for different tasks. We trained a classifier to distinguish between old (familiar) and new (unfamiliar) images, as well as images of faces and scenes, to define distinct neural processes that allow for classification into the two distinct categories. We found that the memory classifier peaks over a time course similar to the Old vs New ERP literature. Additionally, we found that across tasks in the parietal region and the frontal regions, these regions are generally not task dependent, but rather are relatively automatic.en_US
dc.identifier.urihttps://hdl.handle.net/1794/24993
dc.language.isoen_US
dc.publisherUniversity of Oregon
dc.rightsCreative Commons BY-NC-ND 4.0-US
dc.subjectPsychologyen_US
dc.subjectEpisodicen_US
dc.subjectParietal Lobeen_US
dc.subjectTemporal Dynamicsen_US
dc.subjectMemoryen_US
dc.subjectDeclarativeen_US
dc.titleAn EEG Analysis: The Temporal Dynamics of Episodic Memory in the Parietal Cortex
dc.typeThesis/Dissertation

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