Machine learning-based decoding of emotional valence from electrophysiological signals in the monkey brain
Shinya Nakamura, Tuo Xiaoying, Hidenori Watanabe, Takuya Sasaki, Ken-ichiro TSUTSUI
This study uses machine learning to decode emotional valence from electrophysiological signals in monkeys, finding that a Transformer model outperforms a CNN in classifying valence types.
bioRxiv · May 18, 2026 · PreprintNeuroscience