{"id":1421,"date":"2019-10-16T09:22:00","date_gmt":"2019-10-16T00:22:00","guid":{"rendered":"http:\/\/cinetjp-static3.nict.go.jp\/english\/?p=1421"},"modified":"2022-08-27T21:30:34","modified_gmt":"2022-08-27T12:30:34","slug":"20191016_4500","status":"publish","type":"news","link":"http:\/\/cinetjp-static3.nict.go.jp\/english\/news\/20191016_4500\/","title":{"rendered":"Daniel Callan, CiNet PI, received \u201c2019 IEEE Brain Initiative Award\u201d and \u201cBMI Best Paper Award\u201d"},"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>Awarded on October 9, 2019<\/p>\n","protected":false},"featured_media":0,"template":"","acf":[],"_links":{"self":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/english\/wp-json\/wp\/v2\/news\/1421"}],"collection":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/english\/wp-json\/wp\/v2\/news"}],"about":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/english\/wp-json\/wp\/v2\/types\/news"}],"wp:attachment":[{"href":"http:\/\/cinetjp-static3.nict.go.jp\/english\/wp-json\/wp\/v2\/media?parent=1421"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}