Lining Up Brains via a Common Representational Space.
Guntupalli, Haxby, and colleagues have proposed a new quantitative way to align whole-brain functional imaging data. The new technique, searchlight hyperalignment, allows transformations of a subject's brain activity into a latent common representational space and vice versa.
Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology and Osaka University, Osaka, Japan. Electronic address: nishimoto@nict.go.jp.
Shinji
S
Nishimoto
Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology and Osaka University, Osaka, Japan.
Satoshi
S
Nishida
D001921:Brain / Q000000981:diagnostic imaging* / Q000502:physiology; D001931:Brain Mapping / Q000379:methods*; D059907:Functional Neuroimaging; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008959:Models, Neurological
brain decoding; fMRI; hyperalignment