https://github.com/nilearn/nilearn
Tip revision: 9ddfa7259de3053a5ed6655cd662e115926cf6a5 authored by Gensollen on 13 April 2022, 12:38:07 UTC
Release `0.9.1` (#3219)
Release `0.9.1` (#3219)
Tip revision: 9ddfa72
AUTHORS.rst
.. -*- mode: rst -*-
.. include:: changes/names.rst
People
------
This work is made available by a community of people, which
originated from
the `INRIA Parietal Project Team <https://team.inria.fr/parietal/>`_
and the `scikit-learn <http://scikit-learn.org/>`_ but grew much further.
An up-to-date list of contributors can be seen in on `GitHub
<https://github.com/nilearn/nilearn/graphs/contributors>`_
Additional credit goes to `Michael Hanke`_ and `Yaroslav Halchenko`_ for data and packaging.
.. _core_devs:
Core developers
...............
The nilearn core developers are:
* `Alexandre Gramfort`_
* `Alexis Thual`_
* `Bertrand Thirion`_
* `Binh Nguyen`_
* `Elizabeth DuPre`_
* `Gael Varoquaux`_
* `Hao-Ting Wang`_
* `Jerome Dockes`_
* `Julia Huntenburg`_
* `Nicolas Gensollen`_
* `Taylor Salo`_
* `Thomas Bazeille`_
.. _triage:
Triage team
...........
The triage team is responsible for helping to review and prioritize issues related to Nilearn development, as described in the :ref:`maintenance_process`. We are actively looking for more contributors to join the team. You can indicate your interest by contacting one of the Nilearn :ref:`core_devs`.
Other contributors
..................
Some other past or present contributors are:
* `Alexandre Abadie`_
* `Alexandre Abraham`_
* `Andrés Hoyos Idrobo`_
* `Ben Cipollini`_
* `Chris Gorgolewski`_
* `Danilo Bzdok`_
* `Elvis Dohmatob`_
* `Fabian Pedregosa`_
* `Jean Kossaifi`_
* `Jerome-Alexis Chevalier`_
* `Kamalakar Reddy Daddy`_
* `Kshitij Chawla`_
* `Loic Estève`_
* `Martin Perez-Guevara`_
* `Michael Eickenberg`_
* `Philippe Gervais`_
* `Pierre Bellec`_
* `Salma Bougacha`_
* `Vincent Michel`_
* `Virgile Fritsch`_
Funding
.......
`Alexandre Abraham`_, `Gael Varoquaux`_, `Kamalakar Reddy Daddy`_, `Loic Estève`_,
`Mehdi Rahim`_, `Philippe Gervais`_ were paid by the `NiConnect
<https://team.inria.fr/parietal/research/spatial_patterns/niconnect/>`_
project, funded by the French `Investissement d'Avenir
<http://www.gouvernement.fr/investissements-d-avenir-cgi>`_.
`Kshitij Chawla`_ was paid by `INRIA <https://www.inria.fr/en>`_.
`Nicolas Gensollen`_ is paid by the `Human Brain Project <https://www.humanbrainproject.eu/en/>`_
|HBP logo|.
NiLearn is also supported by `DigiCosme <https://digicosme.lri.fr>`_
|digicosme logo| and `DataIA <https://dataia.eu/en>`_ |dataia_logo|.
.. _citing:
Citing nilearn
--------------
There is no paper published yet about nilearn. We are waiting for the
package to mature a bit. However, the patterns underlying the package
have been described in: `Machine learning for neuroimaging with
scikit-learn
<http://journal.frontiersin.org/article/10.3389/fninf.2014.00014/abstract>`_.
We suggest that you read and cite the paper. Thank you.
Citing scikit-learn
-------------------
A huge amount of work goes into `scikit-learn <http://scikit-learn.org/>`_,
upon which nilearn relies heavily.
Researchers who invest their time in developing and maintaining the package
deserve recognition with citations.
In addition, the `Parietal team <https://team.inria.fr/parietal/>`_ needs citations
to the paper in order to justify paying a software engineer on the project.
To guarantee the future of the toolkit, if you use it, please cite it.
See the scikit-learn documentation on `how to cite
<http://scikit-learn.org/stable/about.html#citing-scikit-learn>`_.
.. |digicosme logo| image:: logos/digi-saclay-logo-small.png
:height: 25
:alt: DigiComse Logo
.. |dataia_logo| image:: logos/dataia.png
:height: 25
:alt: DataIA Logo
.. |HBP logo| image:: logos/hbp-logo.png
:height: 25
:alt: HBP Logo