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dc.contributor.authorMaran, Rishikesan
dc.date.accessioned2026-05-26T02:37:16Z
dc.date.available2026-05-26T02:37:16Z
dc.date.issued2026en_AU
dc.identifier.urihttps://hdl.handle.net/2123/35361
dc.description.abstractElucidating how the brain's diverse repertoire of neural dynamics emerges from its fixed anatomical structure, known as the `structure--function relationship', remains a challenge in macroscale neuroscience. While progress has been made in predicting resting-state (spontaneous) functional connectivity from structural connectivity, this static paradigm often fails to capture the mechanisms that shape dynamics over faster (sub-second) timescales, or how the spatiotemporal properties of brain dynamics can reconfigure over time under a fixed structural connectome. Accordingly, this thesis investigates the mechanisms that underlie spatiotemporal variability in stimulus-evoked cortical dynamics over fast (sub-second) timescales. Its main contribution is a timely investigation into the open question of why the geometry of brain anatomy can successfully capture key statistical properties of spontaneous brain dynamics, while ignoring the highly specific arrangements of the various long-distance inter-regional fibres that support global brain communication. Specifically, this thesis demonstrates, through newly constructed models, that long-distance connectivity is essential for capturing fast-timescale interactions between specific remote populations, but these interactions are obscured in slower order-of-seconds fluctuations of spontaneous activity. Furthermore, these fast dynamics are shown to be contingent on the spatial proximity of the driving stimulus, and critically gated by the simultaneous burst-like firing of subcortical arousal nuclei, which is often ignored in the modelling literature. Collectively, this thesis challenges the notion of a fixed structure--function relationship, showing that brain dynamics over fast timescales, despite evolving on a static anatomical backbone, can exhibit a diverse range of spatiotemporal patterns, mediated by variations in the spatial profile of driving stimuli, and fluctuations in internal arousal.en_AU
dc.language.isoenen_AU
dc.subjectneuroscienceen_AU
dc.subjectphysicsen_AU
dc.subjectcomplex systemsen_AU
dc.subjectquantitative biologyen_AU
dc.titleModelling the mechanisms underlying variable spatiotemporal cortical response dynamicsen_AU
dc.typeThesis
dc.type.thesisDoctor of Philosophyen_AU
dc.rights.otherThe 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
usyd.facultySeS faculties schools::Faculty of Science::School of Physicsen_AU
usyd.degreeDoctor of Philosophy Ph.D.en_AU
usyd.awardinginstThe University of Sydneyen_AU
usyd.advisorFulcher, Benjamin


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