3 papers
cs.CL2026
Interpreting Brain Responses to Language with Sparse Features from Language Models
Michael A. Lepori, Kendrick Kay, Greta Tuckute
A central goal of cognitive neuroscience is to characterize the features that are represented by human language cortex. Artificial language models (LMs) have emerged as a powerful…
q-bio.NC2026
A 7T fMRI dataset of synthetic images for out-of-distribution modeling of vision
Alessandro T. Gifford, Radoslaw M. Cichy, Thomas Naselaris +1
Now published in Nature Communications DOI: https://doi.org/10.1038/s41467-026-69345-9 Large-scale visual neural datasets such as the Natural Scenes Dataset (NSD) are boosting comp…
cs.CV2025
NSD-Imagery: A benchmark dataset for extending fMRI vision decoding methods to mental imagery
Reese Kneeland, Paul S. Scotti, Ghislain St-Yves +3
We release NSD-Imagery, a benchmark dataset of human fMRI activity paired with mental images, to complement the existing Natural Scenes Dataset (NSD), a large-scale dataset of fMRI…