[Neuroimaging] Nilearn 0.10.2 is out

[Christopher Markiewicz]

Awesome! Congrats to the nilearn team! And it's great to see so many new contributors!

Best,
Chris

________________________________________
From: Neuroimaging <neuroimaging-bounces+markiewicz=stanford.edu at python.org> on behalf of Remi Gau <remi_gau at hotmail.com>
Sent: Monday, October 2, 2023 14:05
To: neuroimaging at python.org
Subject: [Neuroimaging] Nilearn 0.10.2 is out

Hello everyone!

We have just released Nilearn 0.10.2!

Update from PyPi:

pip install --upgrade nilearn

This is a minor release with some exciting new features:

  *   Volume plotting functions like plot_img<https://nilearn.github.io/stable/modules/generated/nilearn.plotting.plot_img.html#nilearn.plotting.plot_img> now have an optional radiological parameter, defaulting to False. If True, this will invert the x-axis and L and R annotations to confirm to radiological conventional view.

  *   The decoder class was updated:

     *   to use the more efficient LogisticRegressionCV

     *   to support  LassoCV as a new estimator option

  *   Add vmin and symmetric_cbar arguments to plot_img_on_surf<https://nilearn.github.io/stable/modules/generated/nilearn.plotting.plot_img_on_surf.html#nilearn.plotting.plot_img_on_surf>

  *   Improved contrasts allowing fixed effects on F contrasts

  *   There is a new experimental surface API to facilitate working with surface data in downstream surface-based analyses. We provide this API as a nilearn.experimental.surface module as it is still incomplete and subject to change without a deprecation cycle.

  *   We now have a DOI on Zenodo for all Nilearn versions: https://doi.org/10.5281/zenodo.8397156

You can see the full changelog of this release here: https://nilearn.github.io/stable/changes/whats_new.html#id1

11 new contributors !!!!

  *   Jonas Mago (https://github.com/jonasmago) made their first contribution in https://github.com/nilearn/nilearn/pull/3738

  *   Samante Tarum (https://github.com/tarunsamanta2k20) made their first contribution in https://github.com/nilearn/nilearn/pull/3774

  *   Czarina Sy (https://github.com/czarinasy) made their first contribution in https://github.com/nilearn/nilearn/pull/3838

  *   Alisha Kodibagkar (https://github.com/alishakodibagkar) made their first contribution in https://github.com/nilearn/nilearn/pull/3855

  *   François Paugam (https://github.com/FrancoisPgm) made their first contribution in https://github.com/nilearn/nilearn/pull/3854

  *   Mathieu Dugré (https://github.com/mathdugre) made their first contribution in https://github.com/nilearn/nilearn/pull/3860

  *   Rahul Brito (https://github.com/Rahul-Brito) made their first contribution in https://github.com/nilearn/nilearn/pull/3847

  *   Konarad Wagstyl (https://github.com/kwagstyl) made their first contribution in https://github.com/nilearn/nilearn/pull/3172

  *   Aswin Vijayan (https://github.com/vaswin0) made their first contribution in https://github.com/nilearn/nilearn/pull/3597

  *   Maximilian Cosmo Sitter (https://github.com/mcsitter) made their first contribution in https://github.com/nilearn/nilearn/pull/3723

  *   Alexandre Cionca (https://github.com/acionca) made their first contribution in https://github.com/nilearn/nilearn/pull/3971

The full list of pull requests included in this version: https://github.com/nilearn/nilearn/releases/tag/0.10.2

The full “diff” since last version: https://github.com/nilearn/nilearn/compare/0.10.1...0.10.2