Metadata-Version: 2.1
Name: braininvaders2012
Version: 0.1
Summary: Brain Invaders 2012 Dataset
Home-page: https://github.com/plcrodrigues/py.BI.EEG.2012-GIPSA
Author: Pedro Rodrigues
Author-email: pedro.rodrigues01@gmail.com
License: new BSD
Project-URL: Bug Reports, https://github.com/plcrodrigues/py.BI.EEG.2012-GIPSA/issues
Project-URL: Source, https://github.com/plcrodrigues/py.BI.EEG.2012-GIPSA
Keywords: EEG neuroscience signal processing
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering
Classifier: License :: OSI Approved
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown

# Brain Invaders 2012 Dataset

Repository with basic scripts for using the Brain Invaders 2012a dataset developed at GIPSA-lab. The dataset files and their documentation are all available at 

https://zenodo.org/record/2649069

The code of this repository was developed in **Python 3** using MNE-Python [1, 2] as tool for the EEG processing.

To make things work, you might need to install some packages. They are all listed in the `requirements.txt` file and can be easily installed by doing

```
pip install -r requirements.txt
```

in your command line. 

Then, to ensure that your code finds the right scripts whenever you do `import braininvaders2012`, you should also do

```
python setup.py develop # because no stable release yet
```

Note that you might want to create a *virtual environment* before doing all these installations.

# References

[1] Gramfort et al. "MNE software for processing MEG and EEG data" [DOI](https://doi.org/10.1016/j.neuroimage.2013.10.027)

[2] Gramfort et al. "MEG and EEG data analysis with MNE-Python" [DOI](https://doi.org/10.3389/fnins.2013.00267)



