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Found 3 papers, 1 papers with code
Functional Brain-to-Brain Transformation with No Shared Data
Combining Functional MRI (fMRI) data across different subjects and datasets is crucial for many neuroscience tasks.
A Penny for Your (visual) Thoughts: Self-Supervised Reconstruction of Natural Movies from Brain Activity
Reconstructing natural videos from fMRI brain recordings is very challenging, for two main reasons: (i) As fMRI data acquisition is difficult, we only have a limited amount of supervised samples, which is not enough to cover the huge space of natural videos; and (ii) The temporal resolution of fMRI recordings is much lower than the frame rate of natural videos.
From voxels to pixels and back: Self-supervision in natural-image reconstruction from fMRI
Unfortunately, acquiring sufficient "labeled" pairs of {Image, fMRI} (i. e., images with their corresponding fMRI responses) to span the huge space of natural images is prohibitive for many reasons.
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