GithubHelp home page GithubHelp logo

jojovh / mne-bids Goto Github PK

View Code? Open in Web Editor NEW

This project forked from mne-tools/mne-bids

0.0 0.0 0.0 5.25 MB

MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.

Home Page: https://mne.tools/mne-bids/

License: BSD 3-Clause "New" or "Revised" License

Python 98.05% TeX 1.66% Makefile 0.15% Jinja 0.14%

mne-bids's Introduction

Codecov GitHub Actions CircleCI PyPI Download count Latest PyPI release Latest conda-forge release JOSS publication

MNE-BIDS

MNE-BIDS is a Python package that allows you to read and write BIDS-compatible datasets with the help of MNE-Python.

Schematic: From raw data to BIDS using MNE-BIDS

Why?

MNE-BIDS links BIDS and MNE-Python with the goal to make your analyses faster to code, more robust, and facilitate data and code sharing with co-workers and collaborators.

How?

The documentation can be found under the following links:

Getting Help

MNE Forum

For any usage questions, please post to the MNE Forum. Be sure to add the mne-bids tag to your question.

Citing

JOSS publication

If you use MNE-BIDS in your work, please cite our publication in JOSS:

Appelhoff, S., Sanderson, M., Brooks, T., Vliet, M., Quentin, R., Holdgraf, C., Chaumon, M., Mikulan, E., Tavabi, K., Höchenberger, R., Welke, D., Brunner, C., Rockhill, A., Larson, E., Gramfort, A., & Jas, M. (2019): MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis. Journal of Open Source Software, 4:1896. DOI: 10.21105/joss.01896

Please also cite one of the following papers to credit BIDS, depending on which data type you used:

mne-bids's People

Contributors

a-hurst avatar adam2392 avatar agramfort avatar aksoo avatar alexrockhill avatar anandsaini024 avatar arokem avatar bhvieira avatar cbrnr avatar choldgraf avatar dengemann avatar dependabot[bot] avatar dnacombo avatar dominikwelke avatar eort avatar ezemikulan avatar guiomar avatar hoechenberger avatar jasmainak avatar kalenkovich avatar ktavabi avatar larsoner avatar monkeyman192 avatar richardkoehler avatar rob-luke avatar romquentin avatar sappelhoff avatar sophieherbst avatar teonbrooks avatar wmvanvliet avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.