This repository contains implementations of the paradigms there were used to
develop and evaluate gumpy
. For instance, they contain a classical motor
imagery task, but also a paradigm in which a subject has to reach to grasp an
object.
Note that the code is already usable, but may not yet be production quality.
license: | MIT License |
---|---|
contributions: | Please use github (www.github.com/gumpy-bci/gumpy-paradigms) and see below |
issues: | Please use the issue tracker on github (www.github.com/gumpy-bci/gumpy-paradigms/issues) |
Documentation for each paradigm can be found within the folder doc
, whereas
the code to run the paradigms can be found in the respective subfolders. You can
find additional documentation for gumpy on www.gumpy.org.
If you wish to contribute to gumpy's development clone one of gumpy's repository from github and start coding, test if everything works as expected, and finally submit patches or open merge requests. Preferrably in this order.
Please make sure that you follow PEP8, or have a look at the formatting of gumpy's code, and include proper documentation both in your commit messages as well as the source code. We use Google docstrings for formatting, and auto-generate parts of the documentation with sphinx.
- Zied Tayeb
- Nicolai Waniek, www.github.com/rochus
- Nejla Ghaboosi
- Juri Fedjaev
- Leonard Rychly
Zied Tayeb, Nicolai Waniek, Juri Fedjaev, Nejla Ghaboosi, Leonard Rychly, Christian Widderich, Christoph Richter, Jonas Braun, Matteo Saveriano, Gordon Cheng, and Jörg Conradt. "gumpy: A Python Toolbox Suitable for Hybrid Brain-Computer Interfaces"
@Article{gumpy2018,
Title = {gumpy: A Python Toolbox Suitable for Hybrid Brain-Computer Interfaces},
Author = {Tayeb, Zied and Waniek, Nicolai and Fedjaev, Juri and Ghaboosi, Nejla and Rychly, Leonard and Widderich, Christian and Richter, Christoph and Braun, Jonas and Saveriano, Matteo and Cheng, Gordon and Conradt, Jorg},
Year = {2018},
Journal = {}
}
- www.gumpy.org: gumpy's main website. You can find links to datasets here
- www.github.com/gumpy-bci/gumpy: gumpy's main github repository
- www.github.com/gumpy-bci/gumpy-deeplearning: gumpy's deep learning models for BCI
- https://github.com/gumpy-bci/gumpy-realtime : gumpy's real-time BCI module with several online demos
- https://www.youtube.com/channel/UCdarvfot4Ustk2UCmCp62sw : gumpy's Youtube channel
- https://www.youtube.com/watch?v=M68GeL8PafE
- All code in this repository is published under the MIT License. For more details see the LICENSE file.