voxelwise-tutorials 0.1.7

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. (2024). The Voxelwise Modeling framework: a tutorial introduction to fitting encoding models to fMRI data. https://doi.org/10.31234/osf.io/t975e

You can find a copy of the paper here.

Tutorials

This repository contains tutorials describing how to use the voxelwise modeling framework. Voxelwise modeling is a framework to perform functional magnetic resonance imaging (fMRI) data analysis, fitting encoding models at the voxel level.

To explore these tutorials, one can:

• read the rendered examples in the tutorials website (recommended)

• run the Python scripts (tutorials directory)

• run the Jupyter notebooks (tutorials/notebooks directory)

• run the merged notebook in Colab.

The tutorials are best explored in order, starting with the “Shortclips” tutorial.

Helper Python package

To run the tutorials, this repository contains a small Python package called voxelwise_tutorials, with useful functions to download the data sets, load the files, process the data, and visualize the results.

pip install voxelwise_tutorials

git clone https://github.com/gallantlab/voxelwise_tutorials.git
cd voxelwise_tutorials
pip install .

pip install --editable .

Cite as

If you use one of our packages in your work (voxelwise_tutorials [1], himalaya [2], pycortex [3], or pymoten [4]), please cite the corresponding publications: