Bayesian Inference for the Directional Brain Network Modeled by High-dimensional Damped Harmonic Osc

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  We use ordinary differential equations(ODE)to model the directional interaction,also called effective connectivity,among brain regions.In contrast to existing ODE models that focus on effective connectivity among only a few brain regions and that rely on strong prior belief of the existence and strength of connections,we propose a high-dimensional ODE model motivated by statistical considerations to explore connectivity among multiple small brain regions.
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