{"id":1449,"date":"2019-10-16T09:21:00","date_gmt":"2019-10-16T00:21:00","guid":{"rendered":"http:\/\/cinetjp-static3.nict.go.jp\/japanese\/?p=1449"},"modified":"2022-08-27T09:46:59","modified_gmt":"2022-08-27T00:46:59","slug":"20191016_4500","status":"publish","type":"news","link":"http:\/\/cinetjp-static3.nict.go.jp\/japanese\/news\/20191016_4500\/","title":{"rendered":"CiNet\u306ePI Daniel Callan \u304c \u300c2019 IEEE Brain Initiative Award\u300d\u3068 \u300cBMI Best Paper Award\u300d\u3092\u53d7\u8cde\u3057\u307e\u3057\u305f"},"content":{"rendered":"\n<p>Dehais, F., Rida, I., Roy, R., Iversen, J., Mullen, T., Callan D. (2019). A pBCI to predict attentional error before it happens in real flight conditions. IEEE Systems, Man, and Cybernetics. October 6-9. Bari, Italy.<\/p>\n\n\n\n<p>\u53d7\u8cde\u65e5\uff1a2019\u5e7410\u67089\u65e5<\/p>\n","protected":false},"featured_media":0,"template":"","acf":[],"_links":{"self":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/japanese\/wp-json\/wp\/v2\/news\/1449"}],"collection":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/japanese\/wp-json\/wp\/v2\/news"}],"about":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/japanese\/wp-json\/wp\/v2\/types\/news"}],"wp:attachment":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/japanese\/wp-json\/wp\/v2\/media?parent=1449"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}