Papers by Takuya Matsuyama
Unveiling Multi-level and Multi-modal Semantic Representations in the Human Brain using Large Language Models (2024.emnlp-main)
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Yuko Nakagi, Takuya Matsuyama, Naoko Koide-Majima, Hiroto Yamaguchi, Rieko Kubo, Shinji Nishimoto, Yu Takagi
| Challenge: | Recent studies have assessed different levels of semantic content, such as speech, objects, and stories, separately. |
| Approach: | They used functional magnetic resonance imaging to record brain activity while watching 8.3 hours of dramas and movies. |
| Outcome: | The findings show that LLMs predict human brain activity more accurately than traditional language models, particularly for complex background stories. |