Yoshiki Arakawa

The paper uses representational similarity learning to show that multidimensional semantic information is encoded across multiple frequencies in human ventral anterior temporal lobe.

The paper decodes animacy from ECoG data in the human anterior ventral temporal cortex, finding that semantic information is encoded by local populations and interacts with distributed cortical regions.

This study uses intraoperative cortico-cortical evoked potentials to map connectivity gradients in the human left inferior frontal gyrus, revealing distinct connections between its subdivisions and temporal lobe regions.