Application of Granger Causality in Decoding Covert Selective Attention with Human EEG
文献类型:会议论文
作者 | Weikun Niu; Yuying Jiang; Yujin Zhang; Xin Zhang; Shan Yu |
出版日期 | 2019 |
会议日期 | August 13-15, 2019 |
会议地点 | Chengdu, China |
英文摘要 | Electroencephalography (EEG)-based BCIs have experienced a significant growth in recent years, especially the passive Brain Computer Interfaces (BCIs) with a wide application in the detection of cognitive and emotional states. But it is still unclear whether more subtle states, e.g., covert selective attention can be decoded with EEG signals. Here we used a behavioral paradigm to introduce the shift of selective attention between the visual and auditory domain. With EEG signals, we extracted features based on Grange Causality (GC) and successfully decoded the attentional shift through a support vector machine (SVM) based classifier. The decoding accuracy was significantly above the chance level for all 8 subjects tested. The features based on GC were further analyzed with tree-based feature importance analysis and recursive feature elimination (RFE) method to search for the optimal features for classification. Our work demonstrate that specific patterns of brain activities reflected by GC can be used to decode subtle state changes of the brain related to cross-modal selective attention, which opens new possibility of using passive BCIs in sophisticated perceptual and cognitive tasks. |
会议录出版者 | ACM Digital Library |
语种 | 英语 |
源URL | [http://ir.ia.ac.cn/handle/173211/23237] |
专题 | 自动化研究所_脑网络组研究中心 |
通讯作者 | Yujin Zhang; Shan Yu |
作者单位 | 中科院自动化所 |
推荐引用方式 GB/T 7714 | Weikun Niu,Yuying Jiang,Yujin Zhang,et al. Application of Granger Causality in Decoding Covert Selective Attention with Human EEG[C]. 见:. Chengdu, China. August 13-15, 2019. |
入库方式: OAI收割
来源:自动化研究所
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