| tags: | |
| - neuroscience | |
| - computational-biology | |
| - simulation-based-inference | |
| # STG_energy — results data | |
| This dataset contains the `results/` data (simulation outputs, trained neural density estimators, and analysis artifacts) for the paper: | |
| > Deistler, M., Macke, J.H., Gonçalves, P.J. (2022). *Energy-efficient network activity from disparate circuit parameters*. bioRxiv. | |
| ## Code repository | |
| The code that produces and consumes this data lives at: | |
| **https://github.com/mackelab/STG_energy** | |
| See the code repo's README for instructions on how to reproduce the simulations, train the neural density estimators, and generate the paper's figures using this data. | |
| ## Citation | |
| ```bibtex | |
| @article{deistler2022energy, | |
| title={Energy efficient network activity from disparate circuit parameters}, | |
| author={Deistler, Michael and Macke, Jakob H and Gon{\c{c}}alves, Pedro J}, | |
| journal={bioRxiv}, | |
| pages={2021--07}, | |
| year={2022}, | |
| publisher={Cold Spring Harbor Laboratory} | |
| } | |
| ``` | |