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Progress in the brain–computer interface: an interview with Bin He
What can the brain–computer interface (BCI) do? Wearing an electroencephalogram (EEG) headcap, you can control the flight of a drone in the laboratory by your thought; with electrodes inserted inside the brain, paralytic patients can drink by controlling a robotic arm with thinking. Both invasive an...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288869/ https://www.ncbi.nlm.nih.gov/pubmed/34692063 http://dx.doi.org/10.1093/nsr/nwz152 |
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author | Li, Chengyu Zhao, Weijie |
author_facet | Li, Chengyu Zhao, Weijie |
author_sort | Li, Chengyu |
collection | PubMed |
description | What can the brain–computer interface (BCI) do? Wearing an electroencephalogram (EEG) headcap, you can control the flight of a drone in the laboratory by your thought; with electrodes inserted inside the brain, paralytic patients can drink by controlling a robotic arm with thinking. Both invasive and non-invasive BCI try to connect human brains to machines. In the past several decades, BCI technology has continued to develop, making science fiction into reality and laboratory inventions into indispensable gadgets. In July 2019, Neuralink, a company founded by Elon Musk, proposed a sewing machine-like device that can dig holes in the skull and implant 3072 electrodes onto the cortex, promising more accurate reading of what you are thinking, although many serious scientists consider the claim misleading to the public. Recently, National Science Review (NSR) interviewed Professor Bin He, the department head of Biomedical Engineering at Carnegie Mellon University, and a leading scientist in the non-invasive-BCI field. His team developed new methods for non-invasive BCI to control drones by thoughts. In 2019, Bin’s team demonstrated the control of a robotic arm to follow a continuously randomly moving target on the screen. In this interview, Bin He recounted the history of BCI, as well as the opportunities and challenges of non-invasive BCI. |
format | Online Article Text |
id | pubmed-8288869 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-82888692021-10-21 Progress in the brain–computer interface: an interview with Bin He Li, Chengyu Zhao, Weijie Natl Sci Rev Interview What can the brain–computer interface (BCI) do? Wearing an electroencephalogram (EEG) headcap, you can control the flight of a drone in the laboratory by your thought; with electrodes inserted inside the brain, paralytic patients can drink by controlling a robotic arm with thinking. Both invasive and non-invasive BCI try to connect human brains to machines. In the past several decades, BCI technology has continued to develop, making science fiction into reality and laboratory inventions into indispensable gadgets. In July 2019, Neuralink, a company founded by Elon Musk, proposed a sewing machine-like device that can dig holes in the skull and implant 3072 electrodes onto the cortex, promising more accurate reading of what you are thinking, although many serious scientists consider the claim misleading to the public. Recently, National Science Review (NSR) interviewed Professor Bin He, the department head of Biomedical Engineering at Carnegie Mellon University, and a leading scientist in the non-invasive-BCI field. His team developed new methods for non-invasive BCI to control drones by thoughts. In 2019, Bin’s team demonstrated the control of a robotic arm to follow a continuously randomly moving target on the screen. In this interview, Bin He recounted the history of BCI, as well as the opportunities and challenges of non-invasive BCI. Oxford University Press 2020-02 2019-10-12 /pmc/articles/PMC8288869/ /pubmed/34692063 http://dx.doi.org/10.1093/nsr/nwz152 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Interview Li, Chengyu Zhao, Weijie Progress in the brain–computer interface: an interview with Bin He |
title | Progress in the brain–computer interface: an interview with Bin He |
title_full | Progress in the brain–computer interface: an interview with Bin He |
title_fullStr | Progress in the brain–computer interface: an interview with Bin He |
title_full_unstemmed | Progress in the brain–computer interface: an interview with Bin He |
title_short | Progress in the brain–computer interface: an interview with Bin He |
title_sort | progress in the brain–computer interface: an interview with bin he |
topic | Interview |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8288869/ https://www.ncbi.nlm.nih.gov/pubmed/34692063 http://dx.doi.org/10.1093/nsr/nwz152 |
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