22 citations · 37 across the 17 of their papers we have counts for
5 papers · 1 filter
Bridging the behavior-neural gap: A multimodal AI reveals the brain's geometry of emotion more accurately than human self-reports
Changde Du, Yizhuo Lu, Zhongyu Huang +4
The ability to represent emotion plays a significant role in human cognition and social interaction, yet the high-dimensional geometry of this affective space and its neural underp…
BP-GPT: Auditory Neural Decoding Using fMRI-prompted LLM
Xiaoyu Chen, Changde Du, Che Liu +2
Decoding language information from brain signals represents a vital research area within brain-computer interfaces, particularly in the context of deciphering the semantic informat…
Identifying the Hierarchical Emotional Areas in the Human Brain Through Information Fusion
Zhongyu Huang, Changde Du, Chaozhuo Li +2
The brain basis of emotion has consistently received widespread attention, attracting a large number of studies to explore this cutting-edge topic. However, the methods employed in…
Open-vocabulary Auditory Neural Decoding Using fMRI-prompted LLM
Xiaoyu Chen, Changde Du, Che Liu +2
Decoding language information from brain signals represents a vital research area within brain-computer interfaces, particularly in the context of deciphering the semantic informat…
PGCN: Pyramidal Graph Convolutional Network for EEG Emotion Recognition
Ming Jin, Enwei Zhu, Changde Du +2
Emotion recognition is essential in the diagnosis and rehabilitation of various mental diseases. In the last decade, electroencephalogram (EEG)-based emotion recognition has been i…