Knowledge Commons of Institute of Automation,CAS
Graph Emotion Decoding from Visually Evoked Neural Responses | |
Huang ZY(黄中昱)1; Du CD(杜长德)1![]() ![]() | |
2022 | |
会议名称 | International Conference on Medical Image Computing and Computer Assisted Intervention |
会议日期 | 2022/9/18 |
会议地点 | Singapore |
摘要 | Brain signal-based affective computing has recently drawn considerable attention due to its potential widespread applications. Most existing efforts exploit emotion similarities or brain region similarities to learn emotion representations. However, the relationships between emotions and brain regions are not explicitly incorporated into the representation learning process. Consequently, the learned representations may not be informative enough to benefit downstream tasks, e.g., emotion decoding. In this work, we propose a novel neural decoding framework, Graph Emotion Decoding (GED), which integrates the relationships between emotions and brain regions via a bipartite graph structure into the neural decoding process. Further analysis shows that exploiting such relationships helps learn better representations, verifying the rationality and effectiveness of GED. Comprehensive experiments on visually evoked emotion datasets demonstrate the superiority of our model. |
收录类别 | EI |
语种 | 英语 |
是否为代表性论文 | 否 |
七大方向——子方向分类 | 脑机接口 |
国重实验室规划方向分类 | 认知机理与类脑学习 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/51630 |
专题 | 脑图谱与类脑智能实验室_神经计算与脑机交互 |
通讯作者 | He HG(何晖光) |
作者单位 | 1.Institute of Automation,Chinese Academy of Sciences 2.Department of Computer Science, Cornell University |
第一作者单位 | 中国科学院自动化研究所 |
通讯作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Huang ZY,Du CD,Wang YH,et al. Graph Emotion Decoding from Visually Evoked Neural Responses[C],2022. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
paper826.pdf(656KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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