diff --git a/README.rst b/README.rst index 323b4fe..d176d56 100644 --- a/README.rst +++ b/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 `_. Tutorials ========= diff --git a/tutorials/pages/index.md b/tutorials/pages/index.md index e9f0e5b..9acb23f 100644 --- a/tutorials/pages/index.md +++ b/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 @@ -29,7 +28,8 @@ 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` @@ -37,6 +37,7 @@ Please cite the corresponding publications if you use the code or data in your w - `vim-2` dataset {cite}`nishimoto2014data` ## References + ```{bibliography} :filter: docname in docnames -``` \ No newline at end of file +``` diff --git a/tutorials/pages/references.md b/tutorials/pages/references.md index fbc2a77..9fb2d33 100644 --- a/tutorials/pages/references.md +++ b/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 ``` diff --git a/tutorials/static/references.bib b/tutorials/static/references.bib index e957750..407c6ea 100644 --- a/tutorials/static/references.bib +++ b/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,