Unsupervised alignment reveals structural commonalities and differences in neural representations of natural scenes across individuals and brain areas.

Given that fMRI typically contains a lot of noise in the data, it may be significant that unsupervised alignment was successful even with an average of only 4 participants, indicating the high quality of this dataset and the strong commonalities between individuals, with the exception of RSC and MTL.

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