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dc.contributor.supervisor Tata, Matthew S.
dc.contributor.author McMullan, Amanda R.
dc.date.accessioned 2014-01-17T19:12:00Z
dc.date.available 2014-01-17T19:12:00Z
dc.date.issued 2013
dc.identifier.uri https://hdl.handle.net/10133/3354
dc.description x, 90 leaves : col. ill. ; 29 cm en_US
dc.description.abstract We are capable of effortlessly parsing a complex scene presented to us. In order to do this, we must segregate objects from each other and from the background. While this process has been extensively studied in vision science, it remains relatively less understood in auditory science. This thesis sought to characterize the neuroelectric correlates of auditory scene analysis using electroencephalography. Chapter 2 determined components evoked by first-order energy boundaries and second-order pitch boundaries. Chapter 3 determined components evoked by first-order and second-order discontinuous motion boundaries. Both of these chapters focused on analysis of event-related potential (ERP) waveforms and time-frequency analysis. In addition, these chapters investigated the contralateral nature of a negative ERP component. These results extend the current knowledge of auditory scene analysis by providing a starting point for discussing and characterizing first-order and second-order boundaries in an auditory scene. en_US
dc.language.iso en_CA en_US
dc.publisher Lethbridge, Alta. : University of Lethbridge, Dept. of Neuroscience, c2013 en_US
dc.subject Auditory scene analysis -- Research en_US
dc.subject Electroencephalography en_US
dc.subject Auditory perception -- Research en_US
dc.subject Dissertations, Academic en_US
dc.title Electroencephalographic measures of auditory perception in dynamic acoustic environments en_US
dc.type Thesis en_US
dc.publisher.faculty Arts and Science en_US
dc.publisher.department Department of Neuroscience en_US


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