Code and data for the manuscript "Stochastic synchronization of dynamics on the human connectome"

1. sample_simulation.m: Matlab function to simulate the model
2. generate_paper_figures_bioRxiv.m: Matlab function to generate the figures of the preprint paper
3. +functions: package folder containing Kuramoto model functions
4. +utils: package folder containing utility analysis and visualization functions
5. data: folder containing data to reproduce the results of the paper
6. data_basic: folder containing minimum basic data needed to simulate the model

Some important aspects you need to do before running generate_paper_figures_bioRxiv.m

1. Download cbrewer and add to Matlab path.

2. Download Github repository RainCloudPlots and add to Matlab path.

If you use our code in your research, please cite us as follows:

J.C. Pang, L.L. Gollo, and J.A. Roberts, Stochastic synchronization of dynamics on the human connectome, bioRxiv (2020) (DOI: https://doi.org/10.1101/2020.02.09.940817)

J.C. Pang, L.L. Gollo, and J.A. Roberts, Stochastic synchronization of dynamics on the human connectome, NeuroImage, 229, 11738 (2021) (DOI: https://doi.org/10.1016/j.neuroimage.2021.117738)

Please contact [email protected] if you need any further details.