Merge pull request #47 from mvdoc/doc/imagpaper

MNT update with Imaging Neuroscience paper

Author: mvdoc

README.rst

@@ -13,10 +13,9 @@ Paper
 If you use these tutorials for your work, consider citing the corresponding paper:
 
    Dupré la Tour, T., Visconti di Oleggio Castello, M., & Gallant, J. L. (2025). 
-   The Voxelwise Encoding Model framework: a tutorial introduction to fitting encoding models to fMRI data. 
-   https://doi.org/10.31234/osf.io/t975e
+   The Voxelwise Encoding Model framework: A tutorial introduction to fitting encoding models to fMRI data. 
+   *Imaging Neuroscience*. https://doi.org/10.1162/imag_a_00575
 
-You can find a copy of the paper `here <https://doi.org/10.31234/osf.io/t975e>`_.
 
 Tutorials
 =========

tutorials/pages/index.md

@@ -5,9 +5,9 @@ Welcome to the tutorials on the Voxelwise Encoding Model framework from the
 
 If you use these tutorials for your work, consider citing the corresponding paper:
 
-> T. Dupré la Tour, M. Visconti di Oleggio Castello, and J. L. Gallant. The Voxelwise Encoding Model framework: a tutorial introduction to fitting encoding models to fMRI data. PsyArXiv, 2025. [doi:10.31234/osf.io/t975e.](https://doi.org/10.31234/osf.io/t975e)
-
-You can find a copy of the paper [here](https://doi.org/10.31234/osf.io/t975e).
+> Dupré la Tour, T., Visconti di Oleggio Castello, M., & Gallant, J. L. (2025). 
+> The Voxelwise Encoding Model framework: A tutorial introduction to fitting encoding models to fMRI data.
+> *Imaging Neuroscience*. [https://doi.org/10.1162/imag_a_00575](https://doi.org/10.1162/imag_a_00575)
 
 ## How to use the tutorials
 
@@ -18,8 +18,7 @@ To explore the VEM tutorials, one can:
   [all notebooks](https://colab.research.google.com/github/gallantlab/voxelwise_tutorials/blob/main/tutorials/notebooks/shortclips/vem_tutorials_merged_for_colab.ipynb) or [only the notebooks about model fitting](https://colab.research.google.com/github/gallantlab/voxelwise_tutorials/blob/main/tutorials/notebooks/shortclips/vem_tutorials_merged_for_colab_model_fitting.ipynb)
 3. Use the provided [Dockerfiles](https://github.com/gallantlab/voxelwise_tutorials/tree/main/docker) to run the notebooks locally (recommended for Windows users, as some of the packages used do not support Windows)
 
-The code of this project is available on GitHub at [gallantlab/voxelwise_tutorials
-](https://github.com/gallantlab/voxelwise_tutorials). 
+The code of this project is available on GitHub at [gallantlab/voxelwise_tutorials](https://github.com/gallantlab/voxelwise_tutorials). 
 
 The GitHub repository also contains a Python package called
 `voxelwise_tutorials`, which contains useful functions to download the data
@@ -29,14 +28,16 @@ instructions are available [here](voxelwise_package.rst)
 ## Cite as
 
 Please cite the corresponding publications if you use the code or data in your work:
-- `voxelwise_tutorials` {cite}`dupre2023`
+
+- `voxelwise_tutorials` {cite}`dupre2025`
 - `himalaya` {cite}`dupre2022`
 - `pycortex` {cite}`gao2015`
 - `pymoten` {cite}`nunez2021software`
 - `shortclips` dataset {cite}`huth2022data`
 - `vim-2` dataset {cite}`nishimoto2014data`
 
 ## References
+
 ```{bibliography}
 :filter: docname in docnames
-```
+```

tutorials/pages/references.md

@@ -11,12 +11,13 @@ publications {cite}`kay2008,naselaris2009,nishimoto2011,huth2012,cukur2013,cukur
 
 ## Packages
 
-- `voxelwise_tutorials` {cite}`dupre2023`
+- `voxelwise_tutorials` {cite}`dupre2025`
 - `himalaya` {cite}`dupre2022`
 - `pycortex` {cite}`gao2015`
 - `pymoten` {cite}`nunez2021software`
 
 ## Bibliography
+
 ```{bibliography}
 :filter: docname in docnames
 ```

tutorials/static/references.bib

@@ -163,12 +163,12 @@ @misc{huth2022data
     doi = {10.12751/g-node.vy1zjd}
 }
 
-@article{dupre2023,
+@article{dupre2025,
     author = {Dupré la Tour, T. and Visconti di Oleggio Castello, M. and Gallant, J. L.},
-    title = {The Voxelwise Encoding Model framework: a tutorial introduction to fitting encoding models to {fMRI} data},
-    journal = {PsyArXiv},
+    title = {The {Voxelwise Encoding Model} framework: a tutorial introduction to fitting encoding models to {fMRI} data},
+    journal = {Imaging Neuroscience},
     year = {2025},
-    doi = {10.31234/osf.io/t975e}
+    doi = {10.1162/imag_a_00575},
 }
 
 @article{gao2015,