README.md

metadata

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

@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}
}