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However, the existing cBCIs focus on multi-mind information fusion with a static and unidirectional mode, lacking the information interaction and learning guidance among multiple agents. Here, we propose a novel cBCI framework to enhance the group detection performance of dynamic visual targets. Specifically, a mutual learning domain adaptation network (MLDANet) with information interaction, dynamic learning, and individual transferring abilities is developed as the core of the cBCI framework. MLDANet takes P3-sSDA network as individual network unit, introduces mutual learning strategy, and establishes a dynamic interactive learning mechanism between individual networks and collaborative decision-making at the neural decision level. The results indicate that the proposed MLDANet-cBCI framework can achieve the best group detection performance, and the mutual learning strategy can improve the detection ability of individual networks. In MLDANet-cBCI, the F1 scores of collaborative detection and individual network are 0.12 and 0.19 higher than those in the multi-classifier cBCI, respectively, when three minds collaborate. Thus, the proposed framework breaks through the traditional multi-mind collaborative mode and exhibits a superior group detection performance of dynamic visual targets, which is also of great significance for the practical application of multi-mind collaboration.<\/jats:p>","DOI":"10.1155\/2022\/4752450","type":"journal-article","created":{"date-parts":[[2022,1,18]],"date-time":"2022-01-18T17:50:51Z","timestamp":1642528251000},"page":"1-12","source":"Crossref","is-referenced-by-count":5,"title":["A Collaborative Brain-Computer Interface Framework for Enhancing Group Detection Performance of Dynamic Visual Targets"],"prefix":"10.1155","volume":"2022","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6232-3284","authenticated-orcid":true,"given":"Xiyu","family":"Song","sequence":"first","affiliation":[{"name":"Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5555-6036","authenticated-orcid":true,"given":"Ying","family":"Zeng","sequence":"additional","affiliation":[{"name":"Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China"},{"name":"The Clinical Hospital of Chengdu Brain Science Institute, MOE Key Lab for Neuro Information, University of Electronic Science and Technology of China, Chengdu, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4197-7999","authenticated-orcid":true,"given":"Li","family":"Tong","sequence":"additional","affiliation":[{"name":"Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1532-6970","authenticated-orcid":true,"given":"Jun","family":"Shu","sequence":"additional","affiliation":[{"name":"Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8531-2104","authenticated-orcid":true,"given":"Qiang","family":"Yang","sequence":"additional","affiliation":[{"name":"Xi\u2019an Satellite Control Center, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1266-845X","authenticated-orcid":true,"given":"Jian","family":"Kou","sequence":"additional","affiliation":[{"name":"PLA 32317 Force, Wulumuqi, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5679-8811","authenticated-orcid":true,"given":"Minghua","family":"Sun","sequence":"additional","affiliation":[{"name":"Department of Radiology, Henan Provincial People\u2019s Hospital, Department of Radiology, Central China Fuwai Hospital, Zhengzhou University, Zhengzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0393-9641","authenticated-orcid":true,"given":"Bin","family":"Yan","sequence":"additional","affiliation":[{"name":"Henan Key Laboratory of Imaging and Intelligent Processing, PLA Strategic Support Force Information Engineering University, Zhengzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","reference":[{"key":"1","doi-asserted-by":"publisher","DOI":"10.1109\/mci.2016.2572558"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/awaa026"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.3390\/brainsci9020022"},{"key":"4","doi-asserted-by":"publisher","DOI":"10.3389\/fnhum.2019.00013"},{"key":"5","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2021.3118468"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1109\/tnnls.2020.3015505"},{"key":"7","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhx235"},{"key":"8","doi-asserted-by":"publisher","DOI":"10.1109\/tbme.2020.2975614"},{"key":"9","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2560\/11\/5\/056003"},{"key":"10","first-page":"970","article-title":"Collaborative brain-computer interface for human interest detection in complex and dynamic settings","author":"A. 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