Michiyo Sugawara

The paper shows that a vision-language model better predicts food valuation than vision-only models by encoding higher-level food attributes.

The paper presents a densely sampled fMRI dataset with over 500 food images rated by 31 participants to study neural encoding of food value.

This study replicates neural mechanisms for reward processing and social cognition in a Japanese sample using fMRI, finding consistent activation patterns across tasks.