A BIDS app implementing voxel-wise encoding models in fMRI using Docker
The voxel-wise encoding BIDS app is a suite of Python tools for preprocessing fMRI and stimulus data, temporally aligning them, creating a lagged stimulus representation and training and validating voxel-wise encoding models using Ridge regression with hyperparameter search. If you don’t want to bother with a full Python installation, or want to run your analyses on a HPC cluster, you can easily use a Docker image for a smooth and reproducible workflow.
See this blogpost to learn more!