on006012
A geometric shape regularity effect in the human brain: MEG dataset
ANAT MEG Zarr
Magnetoencephalography (MEG) recordings from 20 adult participants viewing simple geometric shapes such as hexagons, triangles and quadrilaterals. The dataset supports a study of how the human brain encodes geometric regularity, including symmetries and parallelism, and contrasts it with visual processing in convolutional neural networks and transformer models. It is released anonymized and defaced in BIDS format, alongside a companion fMRI dataset.
- Participants
- 21
- Citations
- 13
- Size
- 71.1 GB
- Version
- v1.0.0
- Updated
- Jun 28, 2026