Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 9 of 9 for “"Network Neuroscience"”.
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Graph theory analysis of functional and structural connectome: Links to Auditory Processing Disorder
… of auditory processing disorder (APD) using the network neuroscience approach and neuroimaging techniques such as functional magnetic resonance imaging (MRI) and diffusion MRI. The first study investigated the functional connection, the whole-brain functional network properties and hub …
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Modelling brain tumours with network neurosciences and deep learning
… assisted in developing an emerging field called network neurosciences. The network neurosciences model the brain as a network consisting of macro-scale regional connectivity of the brain instead of the micro-scale networks of neurons. The novel brain network approach has the potential to …
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Network dynamics of human intelligence
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-12-01
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Elucidating neural mechanisms of tinnitus generation and persistence: A multimodal neuroimaging investigation
Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2023-04-12 without embargo terms
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FORMATION, REFINEMENT, AND REORGANISATION OF COMPLEX BRAIN NETWORK TOPOLOGY ACROSS THE LIFESPAN
… and modularity. Diving deeper in brain networks specifically, I briefly introduce the study of neural organisation across micro-, meso- and macro-scales. Expanding on macroscale human network organisation, I highlight the relationship between brain organisation and cognition, behaviour, …
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Stochastic Actor-Oriented Models of Functional and Structural Human Brain Networks in Aging
… functional and structural connectivity networks in the brain. Beyond trends, the dynamics across long timescales are still poorly understood. Our research aims to address the question of these long-term dynamics by carefully adapting and applying the stochastic actor-oriented model to …
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Computational Principles of Brain Network Development
… backdrop to the field of developmental systems neuroscience, I introduce generative network models. These relatively new family of models are capable of simulating probabilistic network development. The basis for these models includes simple sets of wiring rules, existing within various imposed …
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Using Machine Learning Techniques to Model Encoder/Decoder Pair for Non-invasive Electroencephalographic Wireless Signal Transmission
… those borrowed from Generative Adversarial Networks (GAN) and other Deep Neural Networks, to minimize data transmission and ensure robustness against data degradation. The study highlighted the crucial role of machine learning in self-adjusting and isolating essential data for accurate and …