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Macroscopic Aspects of Bi-directional BCI in Human

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dc.contributor.authorRyun, Seokyun-
dc.contributor.authorYang, Yu Jin-
dc.contributor.authorKwon, Jii-
dc.contributor.authorKim, June Sic-
dc.contributor.authorChung, Chun Kee-
dc.date.accessioned2022-11-23T00:50:29Z-
dc.date.available2022-11-23T00:50:29Z-
dc.date.created2022-10-12-
dc.date.issued2020-02-
dc.identifier.citation2020 8TH INTERNATIONAL WINTER CONFERENCE ON BRAIN-COMPUTER INTERFACE (BCI), pp.75-78-
dc.identifier.issn2572-7672-
dc.identifier.urihttps://hdl.handle.net/10371/187244-
dc.description.abstractBrain computer interface (BCI) techniques have been remarkably developed in the last decades. Recently, researchers have investigated the sensorimotor integrated bi-directional BCI using micro-recordings. However, this approach has suffered from the insufficient coverage of cortical surface leading to the limited applicability. In this study, we focus on several macroscopic aspects to overcome the limitation by direct cortical stimulation (DCS) and ECoG-based movement decoding. We found that cortical areas elicited somatosensation by DCS are wide spread beyond the S1. In addition, we showed that movement imagery is successfully decoded by multi-regional neural population activities beyond the primary areas.-
dc.language영어-
dc.publisherIEEE-
dc.titleMacroscopic Aspects of Bi-directional BCI in Human-
dc.typeArticle-
dc.identifier.doi10.1109/BCI48061.2020.9061620-
dc.citation.journaltitle2020 8TH INTERNATIONAL WINTER CONFERENCE ON BRAIN-COMPUTER INTERFACE (BCI)-
dc.identifier.wosid000612527100019-
dc.identifier.scopusid2-s2.0-85084052856-
dc.citation.endpage78-
dc.citation.startpage75-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorChung, Chun Kee-
dc.type.docTypeProceedings Paper-
dc.description.journalClass1-
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