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Local Discriminant Hyperalignment for multi-subject fMRI data alignment
[article]
2016
bioRxiv
pre-print
Multivariate Pattern (MVP) classification can map different cognitive states to the brain tasks. One of the main challenges in MVP analysis is validating the generated results across subjects. However, analyzing multi-subject fMRI data requires accurate functional alignments between neuronal activities of different subjects, which can rapidly increase the performance and robustness of the final results. Hyperalignment (HA) is one of the most effective functional alignment methods, which can be
doi:10.1101/092247
fatcat:iw3mfk2osbchdnjzqlsapnaqom