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A geometric shape regularity effect in the human brain: MEG dataset
This dataset contains magnetoencephalography (MEG) recordings from 20 adult participants examining the neural mechanisms underlying perception of regular geometric shapes such as hexagons, triangles, and quadrilaterals. The study investigates how geometric regularity modulates brain activity in ventral visual, intraparietal, and inferior temporal regions, and compares neural responses to predictions from convolutional neural networks and transformer vision models. A companion fMRI dataset examining the same phenomenon is shared separately.
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Coming soon. Per-file data-quality summaries are precomputed by the NEMAR processing pipeline. The static aggregate is on the way — tracked at nemar-cli#511.