Modern vision datasets tend to avoid this step, but do double-check whether spatial smoothing was applied. This standard fMRI step applies a Gaussian filter across voxels and effectively blurs your signal. For reconstruction (and other pattern-based analyses), this can destroy fine-grained spatial information. Note that as an ML researcher you may not easily be able to modify the extensive preprocessing and GLM pipeline yourself without assistance from someone with fMRI expertise, in order to exclude this step.
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