Software
Open-source R packages and JavaScript libraries for neuroimaging research—from reading BIDS data and modelling fMRI time series to multivariate pattern analysis and brain visualization in R and the browser.
The R packages are freely available on GitHub and r-universe. Each core package has its own documentation site with reference pages and vignettes.
Core packages
BIDS dataset reading and navigation tools
Core neuroimaging data structures for fMRI analysis in R
Hemodynamic response functions, basis sets and event regressors for fMRI
Multivariate pattern analysis of fMRI data
Flexible regression-based fMRI analysis
Brain surface mesh reading and visualization
Neuroimaging atlases and parcellations
Spatially constrained clustering for neuroimaging
JavaScript libraries
Browser libraries for reading and displaying neuroimaging data, published on npm.
Other tools
Additional R packages developed by the lab:
| Package | Availability | Description |
|---|---|---|
| multivarious | CRAN | Multivariate dimensionality reduction methods |
| colorplane | CRAN | Color maps and alpha blending for image display |
| eyesim | GitHub | Eye-movement similarity and scanpath analysis |
| fmridesign | r-universe | fMRI experimental design generation |
| templateflow | r-universe | R client for the TemplateFlow archive |
| neuroarchive | GitHub | Archive system for compressed fMRI data |
| neuralign | GitHub | Multi-subject neural data alignment |
| graphweights | GitHub | Weighting matrices based on similarity relationships |
| shard | r-universe | Chunked array storage for large datasets |
| fmridenoise | GitHub | Denoising workflow for fMRI data |