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Null models in network neuroscience

Implementations of randomization and generative null models for network neuroscience, in Python, MATLAB and R.

The "live" version of Supplementary Table 1 in Null models in network neuroscience by František Váša & Bratislav Mišić.

Python

Randomization

Edges (rewiring)

Nodes (spin)

Nodes (parametrized)

Time-series

Correlation matrices (HQS algorithm / configuration model)

Generative models

Edges

Time-series

MATLAB

Randomization

Edges (rewiring)

Nodes (spin)

Nodes (parametrized)

Time-series

Correlation matrices (HQS algorithm / configuration model)

Correlation matrices (distance-dependence)

Graph signal processing

Generative models

Edges

R

Randomization

Edges (rewiring)

Nodes (spin)

Time-series

Correlation matrices (HQS algorithm / configuration model)

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