Derives a macroscale linear transport operator (effective graph Laplacian) for networks from first-principles advection-reaction-diffusion along edges, with scaling properties in edge length.
The connectome mapper: an open-source processing pipeline to map co nnectomes with MRI
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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Frequent neighbor sets of the hippocampus in 414-subject connectomes show significantly higher frequency in high Penn Matrix and low Penn Word Memory test scorers.
citing papers explorer
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A multiscale theory for network advection-reaction-diffusion
Derives a macroscale linear transport operator (effective graph Laplacian) for networks from first-principles advection-reaction-diffusion along edges, with scaling properties in edge length.
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Good Neighbors, Bad Neighbors: The Frequent Network Neighborhood Mapping of the Hippocampus Enlightens Several Structural Factors of the Human Intelligence on a 414-Subject Cohort
Frequent neighbor sets of the hippocampus in 414-subject connectomes show significantly higher frequency in high Penn Matrix and low Penn Word Memory test scorers.