Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology and Osaka University, Osaka, Japan.
Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology and Osaka University, Osaka, Japan.
Trends Cogn Sci. 2016 Aug;20(8):565-567. doi: 10.1016/j.tics.2016.06.001. Epub 2016 Jun 15.
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.
甘图帕利、哈克斯比及其同事提出了一种新的定量方法来对齐全脑功能成像数据。新技术——搜索光超对齐——允许将受试者的大脑活动转换到潜在的共同表示空间中，并反之亦然。
