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Explore large-scale brain modeling through neural mass networks in this 39-minute conference talk that addresses fundamental questions about cortical activity representation. Learn how modern non-invasive neuroimaging provides coarse-grained views of brain function and discover approaches for selecting appropriate neural mass and synapse models. Examine mathematical tools for analyzing high-dimensional networks with multiple axonal delays and understand which features of real-world neuroimaging data can be realistically explained through computational models. Discover the advantages of next-generation neural mass models and explore new mathematical approaches for studying delayed network dynamics. Gain insights into extensions that incorporate thalamic circuitry into brain modeling frameworks, providing a comprehensive view of how connectome data can inform our understanding of large-scale brain network dynamics.
