voxelwise-tutorials 0.1.1

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 located in the tutorials directory

• run the Jupyter notebooks located in the tutorials/notebooks directory

• run the merged notebook in Colab.

To run the tutorials yourself, first download this repository, and install the dependencies (see below). The tutorials are best explored in order, starting with the “Movies 3T” tutorial.

Helper Python package

To run the tutorials, this repository contains a small Python package called voxelwise_tutorials, with useful fonctions 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 this tutorial

If you use this tutorial and helper package in your work, please cite our (future) publication:

If you use himalaya, please cite our (future) publication: