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Beyond Gaussian Assumptions: Distribution-Aware Channel Capacity for Effective Connectivity
Effective-connectivity estimation from brain signals often relies on Gaussian residual modeling, which enables tractable estimation but can discard informative distributional structure and distort inferred directed interactions when empirical residuals are non-Gaussian. We show across multiple modal
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