Multiscale modeling of network dynamics: from multimodal data to biophysical mechanisms and individual predictions (C09*)

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This project develops and applies a computational framework that will enable the integration of neuroscience data across multiple scales to identify general principles of their interactions. We propose an approach using multiscale analyses of empirical neuroimaging data available from the SFB projects and large-scale brain simulations with TheVirtualBrain (TVB). We will decompose complex brain dynamics into probabilistic functional modes and mathematically operationalize them as manifolds along which trajectories evolve as the dynamics unfold.