Examples gallery¶
Hands-on walkthroughs of the laion_fmri Python package. Each
example is a runnable script that you can copy-paste or download
as a Jupyter notebook from the link at the bottom of its page.
Recommended reading order:
Quick Start, end-to-end: initialize, query, download one session, load it.
Dataset Initialization, focused walk-through of the one-time setup: data directory and license acceptance.
Querying the Dataset, discover what is in the bucket and inspect per-subject data.
Loading Data, the full load API: betas, noise-ceiling maps, ROI masks, brain-space mapping, group loading, and PyTorch.
Object Segmentations, per-image object-level segmentation masks for the shared stimulus set.
Template-Space Projection, bring data into and work within template spaces, volume and surface
For a complete reference of the package’s public API, see laion_fmri.
