---
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}
}
```