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University of Oregon

EEG-Monitored Electrical Activity to Track Stored Information With High Temporal Precision

Abstract

dc:description.abstract

Because working memory is correlated with measures of fluid intelligence and is relevant on a daily basis, it is important to investigate its properties. By monitoring neural activity with electroencelography (EEG), we are able to generate channel tuning functions from the electrical waves oscillating in the alpha band frequency (7.5-12.5 Hz). This study seeks to validate the temporal precision allowed with EEG by exploring the sensory systems responsible for governing visual working memory, specifically the manner in which populations of sensory neurons work together to create cognitive representations of relevant features of the outside world. Focusing on the neural activity responding to oriented lines, we found that while visual stimuli invoked equivalent responses for both the relevant and irrelevant orientations when two lines occupied the visual field, an amplitude increase in the tuning functions associated with the relevant feature coincided with an amplitude decrease in tuning functions associated with the irrelevant feature when the subject was asked to hold the orientation in memory. These findings validate the influential role of selective attention on populations of orientation-selective neurons.

Degree

thesis:*
Grantor dc:publisher
University of Oregon
Year dc:date.issued
2014

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Breuner, Richard McKay

Subjects

dc:subject × 7

Rights

dc:rights
Statement dc:rights
  • All Rights Reserved.
Language dc:language.iso
en_US

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1794/18039

Chain of custody

source
Harvested from
University of Oregon
Base URL
scholarsbank.uoregon.edu/server/oai/request
Last updated
2026-08-21
Source record
OAI-PMH GetRecord
related terms
citation

Breuner, Richard McKay. EEG-Monitored Electrical Activity to Track Stored Information With High Temporal Precision. University of Oregon, 2014. https://hdl.handle.net/1794/18039