Inter-subject neural code converter for visual image representation

@article{Yamada2015IntersubjectNC,
  title={Inter-subject neural code converter for visual image representation},
  author={Kentaro Yamada and Yoichi Miyawaki and Yukiyasu Kamitani},
  journal={NeuroImage},
  year={2015},
  volume={113},
  pages={289-97}
}
Brain activity patterns differ from person to person, even for an identical stimulus. In functional brain mapping studies, it is important to align brain activity patterns between subjects for group statistical analyses. While anatomical templates are widely used for inter-subject alignment in functional magnetic resonance imaging (fMRI) studies, they are not sufficient to identify the mapping between voxel-level functional responses representing specific mental contents. Recent work has… CONTINUE READING