Code and data for the manuscript "Stochastic synchronization of dynamics on the human connectome"
- sample_simulation.m: Matlab function to simulate the model
- generate_paper_figures_bioRxiv.m: Matlab function to generate the figures of the preprint paper
- +functions: package folder containing Kuramoto model functions
- +utils: package folder containing utility analysis and visualization functions
- data: folder containing data to reproduce the results of the paper
- 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
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Download cbrewer and add to Matlab path.
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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 james.pang@qimrberghofer.edu.au if you need any further details.