stochastic-sync

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

File descriptions

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

Dependencies

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.

Citation

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)

Further details

Please contact james.pang@qimrberghofer.edu.au if you need any further details.