Braincoder NPC Demo: Single-Trial Numerosity fMRI Extract for Tutorial

A 4.2 MB derived data bundle from a single subject's fMRI experiment on numerosity perception. It contains a right parietal cortex extract from the subject with the highest model performance, repackaged for use with the `braincoder` Python package. The bundle was created by Gilles de Hollander and is intended solely as a teaching and demonstration resource.

Use Cases

• Learning fMRI decoding pipelines based on the tutorial notebooks mentioned in the description
• Demonstrating single-trial brain activity analysis based on the extracted numerosity-tuned parietal cortex data
• Testing the `braincoder.utils.data.load_pratcarrabin2025_npc()` function for data loading

Strengths

• Data is specifically curated for a tutorial, ensuring immediate usability for its intended purpose
• Bundle size is small (~4 MB), enabling fast download and exploration
• Subject was selected for having the highest mean cross-validated R², providing a clear example of model performance

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• The description explicitly states the bundle is for teaching only and not for actual analysis

Provenance

Source

Derived from the full BIDS dataset of the numerosity fMRI experiment by Prat-Carrabin et al. (2025)

Collection Method

Extracted and repackaged from the original study data for tutorial use

Freshness

Last updated 2026-05-22 10:02:15