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dc.contributor.advisorLalor, Edmund
dc.contributor.authorO'Sullivan, James A.
dc.date.accessioned2024-11-22T17:05:43Z
dc.date.available2024-11-22T17:05:43Z
dc.date.issued2016
dc.identifier.citationJames A. O'Sullivan, 'Decoding the neurophysiology of auditory scene analysis with EEG', [thesis], Trinity College (Dublin, Ireland). Department of Electronic & Electrical Engineering, 2016, pp 118
dc.identifier.otherTHESIS 10933
dc.description.abstractHow humans solve the cocktail party problem remains unknown; that is, our ability to attend to a single speaker in a noisy environment, such as a cocktail party. However, progress has been made recently thanks to the realization that cortical activity tracks the amplitude envelope of speech. This has led to the development of regression methods for studying the neurophysiology of continuous speech in humans. One such method, known as stimulus-reconstruction, has been successfully utilized with cortical surface recordings and magnetoencephalography (MEG). However, the former is invasive and gives a relatively restricted view of processing along the auditory hierarchy, whereas the latter is expensive and rare. Thus it would be extremely useful for research in many populations if stimulus-reconstruction was effective using electroencephalography (EEC), a widely available and inexpensive technology.
dc.format1 volume
dc.language.isoen
dc.publisherTrinity College (Dublin, Ireland). Department of Electronic & Electrical Engineering
dc.relation.isversionofhttp://stella.catalogue.tcd.ie/iii/encore/record/C__Rb16683927
dc.subjectElectronic & Electrical Engineering, Ph.D.
dc.subjectPhD Trinity College Dublin, 2016
dc.titleDecoding the neurophysiology of auditory scene analysis with EEG
dc.typethesis
dc.type.supercollectionthesis_dissertations
dc.type.supercollectionrefereed_publications
dc.type.qualificationlevelDoctoral
dc.type.qualificationnameDoctor of Philosophy (Ph.D.)
dc.rights.ecaccessrightsopenAccess
dc.format.extentpaginationpp 118
dc.description.noteTARA (Trinity's Access to Research Archive) has a robust takedown policy. Please contact us if you have any concerns: rssadmin@tcd.ie
dc.identifier.urihttps://hdl.handle.net/2262/110349


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