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Tools and tutorials for voxelwise modeling

Project description

Github Python License

Welcome to the voxelwise modeling tutorial from the Gallantlab.

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

To run the tutorials yourself, first download this repository, and install the dependencies (see below). Then, run either the Python scripts or the Jupyter notebooks located in the “tutorials” directory. 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.

Installation

To install the voxelwise_tutorials package, run

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

Developers can also install the package in editable mode via:

pip install --editable .

Requirements

The package voxelwise_tutorials has the following dependencies:

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