This repository contains experimental data, processed analysis results, and rendered movies to accompany the paper.
Citable reference:
@misc{yamamoto_modular_2022,
title = {Modular Architecture Facilitates Noise-Driven Control of Synchrony in Neuronal Networks},
author = {Yamamoto, Hideaki and Spitzner, F. Paul and Takemuro, Taiki and Buend{\'i}a, Victor and Morante, Carla and Konno, Tomohiro and Sato, Shigeo and {Hirano-Iwata}, Ayumi and Priesemann, Viola and Mu{\~n}oz, Miguel A. and Zierenberg, Johannes and Soriano, Jordi},
year = {2022},
eprint = {2205.10563},
eprinttype = {arxiv},
primaryclass = {q-bio},
institution = {{arXiv}},
doi = {10.48550/arXiv.2205.10563},
url = {http://arxiv.org/abs/2205.10563},
archiveprefix = {arXiv},
}
The source code is available via GitHub: https://github.com/Priesemann-Group/stimulating_modular_cultures
To enable plot scripts using the downloaded data (this repo), extract the zip
files and place the /dat/
folder inside the base directory of the GitHub repository.
The following structure is assumed:
stimulating_modular_cultures (code repo)/
├── ana/paper_plots.py
├── ...
└── dat/
├── experiments/
│ ├── processed/ (extracted zip)
│ └── raw/ (extracted zip)
│ └── 1b/realization_id (e.g. 210315_A)
└── simulations/
├── lif/
│ ├── processed/ (extracted zip)
│ └── raw/ (not provided)
└── meso/
├── processed/ (extracted zip)
└── raw/ (not provided)
...