This work is made available by a community of people, which originated from the :inria:`INRIA MIND Project Team <mind>` and :sklearn:`scikit-learn <>` but grew much further.
An up-to-date list of contributors can be seen in on :nilearn-gh:`GitHub <graphs/contributors>`.
Additional credit goes to `Michael Hanke`_ and `Yaroslav Halchenko`_ for data and packaging.
The nilearn core developers are:
- `Alexis Thual`_
- `Bertrand Thirion`_
- `Elizabeth DuPre`_
- `Hao-Ting Wang`_
- `Jerome Dockes`_
- `Nicolas Gensollen`_
- `Rémi Gau`_
- `Taylor Salo`_
- `Yasmin Mzayek`_
Some other past or present contributors are:
- `Ahmad Chamma`_
- `Aina Frau-Pascual`_
- `Alex Rothberg`_
- `Alexandre Abadie`_
- `Alexandre Abraham`_
- `Alexandre Gramfort`_
- `Alexandre Savio`_
- `Alexis Thual`_
- `Alisha Kodibagkar`_
- `Amadeus Kanaan`_
- `Ana Luisa Pinho`_
- `Andrés Hoyos Idrobo`_
- `Anne-Sophie Kieslinger`_
- `Ariel Rokem`_
- `Arthur Mensch`_
- `Aswin Vijayan`_
- `Audrey Duran`_
- `Ben Cipollini`_
- `Bertrand Thirion`_
- `Binh Nguyen`_
- `Caglar Cakan`_
- `Chris Gorgolewski`_
- `Chris Markiewicz`_
- `Christian Horea`_
- `Christian Gerloff`_
- `Colin Reininger`_
- `Connor Lane`_
- `Czarina Sy`_
- `Céline Delettre`_
- `Dan Gale`_
- `Daniel Gomez`_
- `Danilo Bzdok`_
- `David G Ellis`_
- `Demian Wassermann`_
- `Derek Pisner`_
- `Dimitri Papadopoulos Orfanos`_
- `Elizabeth DuPre`_
- `Elvis Dohmatob`_
- `Eric Larson`_
- `Evan Edmond`_
- `Fabian Pedregosa`_
- `Franz Liem`_
- `François Paugam`_
- `Gael Varoquaux`_
- `Gilles de Hollander`_
- `Greg Kiar`_
- `Greydon Gilmore`_
- `Guillaume Lemaitre`_
- `Hao-Ting Wang`_
- `Himanshu Aggarwal`_
- `Ian Abenes`_
- `Jake Vogel`_
- `Jan Margeta`_
- `Jaques Grobler`_
- `Jason Gors`_
- `Javier Rasero`_
- `Jean Kossaifi`_
- `Jean-Rémi King`_
- `Jelle Roelof Dalenberg`_
- `Jeremy Lefort-Besnard`_
- `Jerome Dockes`_
- `Jerome-Alexis Chevalier`_
- `Johannes Wiesner`_
- `Jon Haitz Legarreta Gorrono`_
- `Jona Sassenhagen`_
- `Joshua Teves`_
- `Julia Huntenburg`_
- `Julio A Peraza`_
- `Kamalakar Reddy Daddy`_
- `Kevin Sitek`_
- `Koen Helwegen`_
- `Konrad Wagstyl`_
- `Konstantin Shmelkov`_
- `Kshitij Chawla`_
- `Kun CHEN`_
- `Leonard Sasse`_
- `Loic Estève`_
- `Loic Tetrel`_
- `Luz Paz`_
- `Manon Pietrantoni`_
- `Martin Perez-Guevara`_
- `Martin Wegrzyn`_
- `Mathias Goncalves`_
- `Mathieu Dugré`_
- `Matthias Ekman`_
- `Matthieu Joulot`_
- `Mehdi Rahim`_
- `Michael Eickenberg`_
- `Michael Hanke`_
- `Michael Notter`_
- `Michael Waskom`_
- `Michelle Wang`_
- `Mohammad Torabi`_
- `Moritz Boos`_
- `Myeong Seop Song`_
- `Natasha Clarke`_
- `Neelay Shah`_
- `Nicolas Gensollen`_
- `Oliver Warrington`_
- `Oscar Esteban`_
- `Patrick Sadil`_
- `Paul Bogdan`_
- `Paula Sanz-Leon`_
- `Peer Herholz`_
- `Philippe Gervais`_
- `Pierre Bellec`_
- `Pierre Glaser`_
- `Pierre-Olivier Quirion`_
- `Pradeep Reddy Raamana`_
- `Rahul Brito`_
- `Raphael Meudec`_
- `Robert Luke`_
- `Robert Williamson`_
- `Roberto Guidotti`_
- `Ronald Phlypo`_
- `Ryan Hammonds`_
- `Rémi Gau`_
- `Sachin Patalasingh`_
- `Sage Hahn`_
- `Salma Bougacha`_
- `Sam Buck Johnson`_
- `Sami Jawhar`_
- `Simon Steinkamp`_
- `Sourav Singh`_
- `Steven Meisler`_
- `Sylvain Lan`_
- `Sylvain Takerkart`_
- `Tarun Samanta`_
- `Taylor Salo`_
- `Thomas Bazeille`_
- `Tom Vanasse`_
- `Vasco Diogo`_
- `Vincent Michel`_
- `Virgile Fritsch`_
- `Yaroslav Halchenko`_
- `Yasmin Mzayek`_
- `Zvi Baratz`_
- `Óscar Nájera`_
`Rémi Gau`_ is paid by a grant from the Chan Zuckerberg Initiative
`Alexandre Abraham`_, `Gael Varoquaux`_, `Kamalakar Reddy Daddy`_, `Loic Estève`_, `Mehdi Rahim`_, `Philippe Gervais`_ were paid by the :inria:`NiConnect <parietal/research/spatial_patterns/niconnect/>`. project, funded by the French Investissement d'Avenir.
`Kshitij Chawla`_ was paid by INRIA.
`Yasmin Mzayek`_ is paid by the Human Brain Project . Previously `Nicolas Gensollen`_ was funded by HBP.
NiLearn is also supported by DigiCosme and DataIA .
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.
We suggest that you read and cite the paper. Thank you.
A huge amount of work goes into :sklearn:`scikit-learn <>`, upon which nilearn relies heavily. Researchers who invest their time in developing and maintaining the package deserve recognition with citations. In addition, the :inria:`INRIA MIND Project Team <mind>` 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 :sklearn:`how to cite <about.html#citing-scikit-learn>`.