Beyond Gaussian Assumptions: Distribution-Aware Channel Capacity for Effective Connectivity

arXiv:2609.32774 · cs.LG, q-bio.NC · Submitted 2026-09-26 · Read on arXiv

cs.LG, q-bio.NC

Submitted: 2026-09-26

Updated: 2026-09-26

Code: https://github.com/inspirelab-site/EC-dual-flow

Terminology

• AUROC — 13× in this paper · explained in 2 episodes
• Granger Causality — 8× in this paper
• Non-Gaussianity — 6× in this paper · explained in 2 episodes
• Normalizing Flow — 5× in this paper · explained in 3 episodes
• Normalizing Flows — 5× in this paper · explained in 4 episodes
• Regret — 5× in this paper · explained in 3 episodes
• Adam — 4× in this paper · explained in 2 episodes
• Error Decomposition — 4× in this paper · explained in 3 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• alpha — 3× in this paper · explained in 1 episode
• Ablation — 2× in this paper · explained in 1 episode
• Calibration — 2× in this paper · explained in 7 episodes
• Causal Discovery — 2× in this paper · explained in 2 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Causal Inference — 1× in this paper · explained in 4 episodes
• Core — 1× in this paper · explained in 2 episodes
• Error Localization — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Group Iterative Multiple Model Estimation — 1× in this paper

Sources

• Density estimation using Real NVP
• Discrete, 3D distributed, linear imaging methods of electric neuronal activity. Part 1: exact, zero error localization

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