Naoya Maeda

This study investigates whether symmetric semantic information is represented symmetrically in the human brain using fMRI data from movie-evoked responses.

This paper introduces a framework using CNNs to decode individual mental information from predicted brain responses, achieving high accuracy without requiring additional fMRI measurements.

The paper compares semantic dissimilarities of words derived from brain models and human behavior, finding a significant correlation that supports the validity of word vector-based semantic representations in the brain.