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      Several inaccurate or erroneous conceptions and misleading propaganda about brain-computer interfaces

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          Abstract

          Brain-computer interface (BCI) is a revolutionizing human-computer interaction, which has potential applications for specific individuals or groups in specific scenarios. Extensive research has been conducted on the principles and implementation methods of BCI, and efforts are currently being made to bridge the gap from research to real-world applications. However, there are inaccurate or erroneous conceptions about BCI among some members of the public, and certain media outlets, as well as some BCI researchers, developers, manufacturers, and regulators, propagate misleading or overhyped claims about BCI technology. Therefore, this article summarizes the several misconceptions and misleading propaganda about BCI, including BCI being capable of “mind-controlled,” “controlling brain,” “mind reading,” and the ability to “download” or “upload” information from or to the brain using BCI, among others. Finally, the limitations (shortcomings) and limits (boundaries) of BCI, as well as the necessity of conducting research aimed at countering BCI systems are discussed, and several suggestions are offered to reduce misconceptions and misleading claims about BCI.

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          Most cited references60

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          Brain–computer interfaces for communication and control

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            Direct cortical control of 3D neuroprosthetic devices.

            Three-dimensional (3D) movement of neuroprosthetic devices can be controlled by the activity of cortical neurons when appropriate algorithms are used to decode intended movement in real time. Previous studies assumed that neurons maintain fixed tuning properties, and the studies used subjects who were unaware of the movements predicted by their recorded units. In this study, subjects had real-time visual feedback of their brain-controlled trajectories. Cell tuning properties changed when used for brain-controlled movements. By using control algorithms that track these changes, subjects made long sequences of 3D movements using far fewer cortical units than expected. Daily practice improved movement accuracy and the directional tuning of these units.
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              High-performance brain-to-text communication via handwriting

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                Author and article information

                Contributors
                URI : https://loop.frontiersin.org/people/2665625/overviewRole: Role:
                Role:
                Role:
                URI : https://loop.frontiersin.org/people/1225105/overviewRole:
                URI : https://loop.frontiersin.org/people/752583/overviewRole:
                URI : https://loop.frontiersin.org/people/1448495/overviewRole:
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                URI : https://loop.frontiersin.org/people/749062/overviewRole: Role: Role: Role: Role: Role:
                Journal
                Front Hum Neurosci
                Front Hum Neurosci
                Front. Hum. Neurosci.
                Frontiers in Human Neuroscience
                Frontiers Media S.A.
                1662-5161
                27 March 2024
                2024
                : 18
                : 1391550
                Affiliations
                [1] 1Faculty of Information Engineering and Automation, Kunming University of Science and Technology , Kunming, China
                [2] 2Brain Cognition and Brain-Computer Intelligence Integration Group, Kunming University of Science and Technology , Kunming, China
                [3] 3Faculty of Science, Kunming University of Science and Technology , Kunming, China
                [4] 4School of Information Engineering , Chinese People’s Armed Police Force Engineering University , Xi’an, China
                [5] 5Department of Psychology, School of Education, Shanghai Normal University , Shanghai, China
                Author notes

                Edited by: Yangsong Zhang, Southwest University of Science and Technology, China

                Reviewed by: Jinyi Long, Jinan University, China

                Gan Huang, Shenzhen University, China

                *Correspondence: Peng Ding, ausarschorr@ 123456foxmail.com ; Yunfa Fu, fyf@ 123456ynu.edu.cn
                Article
                10.3389/fnhum.2024.1391550
                11004276
                38601800
                17a695d4-298b-404b-aab0-94dbfb78663e
                Copyright © 2024 Chen, Wang, Li, Zhao, Gong, Nan, Ding and Fu.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 26 February 2024
                : 18 March 2024
                Page count
                Figures: 4, Tables: 1, Equations: 0, References: 61, Pages: 12, Words: 9636
                Funding
                Funded by: National Natural Science Foundation of China, doi 10.13039/501100001809;
                Award ID: 82172058, 62376112, 81771926, 61763022, and 62366026
                The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study was partially funded by the National Natural Science Foundation of China (Grant Nos. 82172058, 62376112, 81771926, 61763022, and 62366026).
                Categories
                Human Neuroscience
                Review
                Custom metadata
                Brain-Computer Interfaces

                Neurosciences
                misleading propaganda about bci,mind reading,mind-controlled,controlling brain,“intelligence” of bci

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