Neural Field Theory of Alpha Rhythms and Responses via Brain Modes

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Field	Value	Language
dc.contributor.author	El-Zghir, Rawan
dc.date.accessioned	2024-09-13T06:03:16Z
dc.date.available	2024-09-13T06:03:16Z
dc.date.issued	2023	en_AU
dc.identifier.uri	https://hdl.handle.net/2123/33081
dc.description.abstract	Neural field theory (NFT) has been widely used to reproduce key features of brain activity over scales of a few tenths of a millimeter and above. Modal analysis has been recently introduced to model brain dynamics by decomposing any brain activity in terms of its natural modes by deriving the corresponding eigenmodes on the cortical surface via NFT. This thesis uses a modal-polar representation of a well-established corticothalamic model of NFT to simplify the analysis of evoked responses, and eigenmode analysis to model and describe the mechanism of the alpha rhythm, which is the most prominent feature in a human EEG.	en_AU
dc.language.iso	en	en_AU
dc.title	Neural Field Theory of Alpha Rhythms and Responses via Brain Modes	en_AU
dc.type	Thesis
dc.type.thesis	Doctor of Philosophy	en_AU
dc.rights.other	The author retains copyright of this thesis. It may only be used for the purposes of research and study. It must not be used for any other purposes and may not be transmitted or shared with others without prior permission.	en_AU
usyd.faculty	SeS faculties schools::Faculty of Science::School of Physics	en_AU
usyd.degree	Doctor of Philosophy Ph.D.	en_AU
usyd.awardinginst	The University of Sydney	en_AU
usyd.advisor	Robinson, Peter