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<h1>Nilearn:</h1>
<h2>Statistics for NeuroImaging in Python</h2>
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<h1>People<a class="headerlink" href="#people" title="Permalink to this headline">¶</a></h1>
<p>This work is made available by a community of people, which
originated from
the <a class="reference external" href="https://team.inria.fr/parietal/">INRIA Parietal Project Team</a>
and the <a class="reference external" href="http://scikit-learn.org/">scikit-learn</a> but grew much further.</p>
<p>An up-to-date list of contributors can be seen in on <a class="reference external" href="https://github.com/nilearn/nilearn/graphs/contributors">GitHub</a></p>
<p>Additional credit goes to M. Hanke and Y. Halchenko for data and packaging.</p>
<div class="section" id="core-developers">
<span id="core-devs"></span><h2>Core developers<a class="headerlink" href="#core-developers" title="Permalink to this headline">¶</a></h2>
<p>The nilearn core developers are:</p>
<ul class="simple">
<li><p><a class="reference external" href="http://alexandre.gramfort.net/">Alexandre Gramfort</a></p></li>
<li><p><a class="reference external" href="https://github.com/alexisthual">Alexis Thual</a></p></li>
<li><p><a class="reference external" href="https://pages.saclay.inria.fr/bertrand.thirion/">Bertrand Thirion</a></p></li>
<li><p><a class="reference external" href="https://www.imo.universite-paris-saclay.fr/~tbnguyen/">Binh Nguyen</a></p></li>
<li><p><a class="reference external" href="https://elizabeth-dupre.com/#/">Elizabeth DuPre</a></p></li>
<li><p><a class="reference external" href="http://gael-varoquaux.info/">Gael Varoquaux</a></p></li>
<li><p><a class="reference external" href="https://wanghaoting.com/">Hao-Ting Wang</a></p></li>
<li><p><a class="reference external" href="https://jeromedockes.github.io/">Jerome Dockes</a></p></li>
<li><p><a class="reference external" href="https://github.com/juhuntenburg">Julia Huntenburg</a></p></li>
<li><p><a class="reference external" href="https://github.com/KamalakerDadi">Kamalaker Dadi</a></p></li>
<li><p><a class="reference external" href="https://github.com/kchawla-pi">Kshitij Chawla</a></p></li>
<li><p><a class="reference external" href="https://nicolasgensollen.github.io/">Nicolas Gensollen</a></p></li>
<li><p><a class="reference external" href="https://tsalo.github.io/">Taylor Salo</a></p></li>
<li><p><a class="reference external" href="https://github.com/thomasbazeille">Thomas Bazeille</a></p></li>
</ul>
</div>
<div class="section" id="other-contributors">
<h2>Other contributors<a class="headerlink" href="#other-contributors" title="Permalink to this headline">¶</a></h2>
<p>Some other past or present contributors are:</p>
<ul class="simple">
<li><p>Abadie, A.</p></li>
<li><p>Abraham, A.</p></li>
<li><p>Bellec, P.</p></li>
<li><p>Bougacha, S.</p></li>
<li><p>Bzdok, D.</p></li>
<li><p>Chevalier, J.A.</p></li>
<li><p>Cipollini., B.</p></li>
<li><p>Dohmatob, E.</p></li>
<li><p>Eickenberg, M.</p></li>
<li><p>Esteve, L.</p></li>
<li><p>Fritsch, V.</p></li>
<li><p>Gervais, P.</p></li>
<li><p>Hoyos Idrobo, A.</p></li>
<li><p>Gorgolewski, C.F.</p></li>
<li><p>Kossaifi, J.</p></li>
<li><p>Michel, V.</p></li>
<li><p>Pedregosa, F.</p></li>
<li><p>Perez, M.</p></li>
</ul>
</div>
<div class="section" id="funding">
<h2>Funding<a class="headerlink" href="#funding" title="Permalink to this headline">¶</a></h2>
<p>Alexandre Abraham, Gael Varoquaux, Kamalakar Reddy Daddy, Loïc Estève,
Mehdi Rahim, Philippe Gervais were paid by the <a class="reference external" href="https://team.inria.fr/parietal/18-2/spatial_patterns/niconnect">NiConnect</a>
project, funded by the French <a class="reference external" href="http://www.gouvernement.fr/investissements-d-avenir-cgi">Investissement d’Avenir</a>.</p>
<p>NiLearn is also supported by <a class="reference external" href="https://digicosme.lri.fr">DigiCosme</a>
<a class="reference internal" href="_images/digi-saclay-logo-small.png"><img alt="DigiComse Logo" src="_images/digi-saclay-logo-small.png" style="height: 25px;" /></a> and <a class="reference external" href="https://dataia.eu/en">DataIA</a> <a class="reference internal" href="_images/dataia.png"><img alt="DataIA Logo" src="_images/dataia.png" style="height: 25px;" /></a>.</p>
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<div class="section" id="citing-nilearn">
<span id="citing"></span><h1>Citing nilearn<a class="headerlink" href="#citing-nilearn" title="Permalink to this headline">¶</a></h1>
<p>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: <a class="reference external" href="http://journal.frontiersin.org/article/10.3389/fninf.2014.00014/abstract">Machine learning for neuroimaging with
scikit-learn</a>.</p>
<p>We suggest that you read and cite the paper. Thank you.</p>
</div>
<div class="section" id="citing-scikit-learn">
<h1>Citing scikit-learn<a class="headerlink" href="#citing-scikit-learn" title="Permalink to this headline">¶</a></h1>
<p>A huge amount of work goes into 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 Parietal team 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.</p>
<p>See the scikit-learn documentation on <a class="reference external" href="http://scikit-learn.org/stable/about.html#citing-scikit-learn">how to cite</a>.</p>
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<h4> Giving credit </h4>
<ul class="simple">
<li><p>Please consider <a href="##citing">citing the
papers</a>.</p></li>
</ul>
<h3><a href="index.html">Table of Contents</a></h3>
<ul>
<li><a class="reference internal" href="#">People</a><ul>
<li><a class="reference internal" href="#core-developers">Core developers</a></li>
<li><a class="reference internal" href="#other-contributors">Other contributors</a></li>
<li><a class="reference internal" href="#funding">Funding</a></li>
</ul>
</li>
<li><a class="reference internal" href="#citing-nilearn">Citing nilearn</a></li>
<li><a class="reference internal" href="#citing-scikit-learn">Citing scikit-learn</a></li>
</ul>
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