{"title":"脑机接口的多模态神经成像教程","authors":"S. Fazli, K. Müller, Seong-Whan Lee, B. Blankertz","doi":"10.1109/IWW-BCI.2013.6506605","DOIUrl":null,"url":null,"abstract":"Multimodal techniques have seen a rising interest from the neuroscientific as well as the BCI community in recent times. In this abstract two aspects of multi-modal imaging will be reviewed. Firstly, how recordings of multiple subjects can help in finding subject-independent BCI classifiers and secondly how multi-modal neuroimaging methods, namely combined EEG and NIRS measurements can help in enhancing as well as robustifying BCI performance.","PeriodicalId":129758,"journal":{"name":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","volume":"409 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Tutorial on multimodal neuroimaging for brain-computer interfacing\",\"authors\":\"S. Fazli, K. Müller, Seong-Whan Lee, B. Blankertz\",\"doi\":\"10.1109/IWW-BCI.2013.6506605\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Multimodal techniques have seen a rising interest from the neuroscientific as well as the BCI community in recent times. In this abstract two aspects of multi-modal imaging will be reviewed. Firstly, how recordings of multiple subjects can help in finding subject-independent BCI classifiers and secondly how multi-modal neuroimaging methods, namely combined EEG and NIRS measurements can help in enhancing as well as robustifying BCI performance.\",\"PeriodicalId\":129758,\"journal\":{\"name\":\"2013 International Winter Workshop on Brain-Computer Interface (BCI)\",\"volume\":\"409 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-04-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 International Winter Workshop on Brain-Computer Interface (BCI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IWW-BCI.2013.6506605\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 International Winter Workshop on Brain-Computer Interface (BCI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IWW-BCI.2013.6506605","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Tutorial on multimodal neuroimaging for brain-computer interfacing
Multimodal techniques have seen a rising interest from the neuroscientific as well as the BCI community in recent times. In this abstract two aspects of multi-modal imaging will be reviewed. Firstly, how recordings of multiple subjects can help in finding subject-independent BCI classifiers and secondly how multi-modal neuroimaging methods, namely combined EEG and NIRS measurements can help in enhancing as well as robustifying BCI performance.