Research map / Probabilistic and scientific modeling / Dynamical systems
BrainFlow: A Holistic Pathway of Dynamic Neural System on Manifold
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Proposes BrainFlow, a framework that models the joint dynamics of structural connectivity and dynamic functional connectivity on a manifold to study how cognition emerges from brain structure-function interplay.
Problem
Understanding how cognition emerges from the interplay between structural connectivity (SC) and dynamic functional connectivity (FC) in the brain; current machine learning approaches typically separate or simplify these structure-function relationships.
Approach
Treats structure-function relationships holistically from a network neuroscience perspective, modeling SC and dynamic FC jointly as a dynamic neural system on a manifold (details beyond the abstract not available).
Closest papers by meaning
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- MAGNET: Manifold-Aware Graph Diffusion Network for Connectome Generation (NeurIPS 2026 · similarity 0.88)
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- Beyond Pairwise Connections: Extracting High-Order Functional Brain Network Structures under Global Constraints (NeurIPS 2025 · similarity 0.87)
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