Multidimensional semantic representations emerge from multi-frequency representational similarity learning
Saskia L Frisby, Christopher Richard Cox, Ajay D. Halai, Akihiro Shimotake, Takayuki Kikuchi, Katsuya Kobayashi, Takeharu Kuneida, Yoshiki Arakawa, Akio Ikeda, Riki Matsumoto, Timothy Thomas Rogers, Matthew A. Lambon Ralph
The paper uses representational similarity learning to show that multidimensional semantic information is encoded across multiple frequencies in human ventral anterior temporal lobe.
bioRxiv · Sep 25, 2026 · PreprintNeuroscience