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An Integrated Brain-Machine Interface Platform With Thousands of Channels
Brain-machine interfaces hold promise for the restoration of sensory and motor function and the treatment of neurological disorders, but clinical brain-machine interfaces have not yet been widely adopted, in part, because modest channel counts have limited their potential. In this white paper, we de...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2019
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6914248/ https://www.ncbi.nlm.nih.gov/pubmed/31642810 http://dx.doi.org/10.2196/16194 |
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author | Musk, Elon |
author_facet | Musk, Elon |
author_sort | Musk, Elon |
collection | PubMed |
description | Brain-machine interfaces hold promise for the restoration of sensory and motor function and the treatment of neurological disorders, but clinical brain-machine interfaces have not yet been widely adopted, in part, because modest channel counts have limited their potential. In this white paper, we describe Neuralink’s first steps toward a scalable high-bandwidth brain-machine interface system. We have built arrays of small and flexible electrode “threads,” with as many as 3072 electrodes per array distributed across 96 threads. We have also built a neurosurgical robot capable of inserting six threads (192 electrodes) per minute. Each thread can be individually inserted into the brain with micron precision for avoidance of surface vasculature and targeting specific brain regions. The electrode array is packaged into a small implantable device that contains custom chips for low-power on-board amplification and digitization: The package for 3072 channels occupies less than 23×18.5×2 mm(3). A single USB-C cable provides full-bandwidth data streaming from the device, recording from all channels simultaneously. This system has achieved a spiking yield of up to 70% in chronically implanted electrodes. Neuralink’s approach to brain-machine interface has unprecedented packaging density and scalability in a clinically relevant package. |
format | Online Article Text |
id | pubmed-6914248 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-69142482020-01-06 An Integrated Brain-Machine Interface Platform With Thousands of Channels Musk, Elon J Med Internet Res White Paper Brain-machine interfaces hold promise for the restoration of sensory and motor function and the treatment of neurological disorders, but clinical brain-machine interfaces have not yet been widely adopted, in part, because modest channel counts have limited their potential. In this white paper, we describe Neuralink’s first steps toward a scalable high-bandwidth brain-machine interface system. We have built arrays of small and flexible electrode “threads,” with as many as 3072 electrodes per array distributed across 96 threads. We have also built a neurosurgical robot capable of inserting six threads (192 electrodes) per minute. Each thread can be individually inserted into the brain with micron precision for avoidance of surface vasculature and targeting specific brain regions. The electrode array is packaged into a small implantable device that contains custom chips for low-power on-board amplification and digitization: The package for 3072 channels occupies less than 23×18.5×2 mm(3). A single USB-C cable provides full-bandwidth data streaming from the device, recording from all channels simultaneously. This system has achieved a spiking yield of up to 70% in chronically implanted electrodes. Neuralink’s approach to brain-machine interface has unprecedented packaging density and scalability in a clinically relevant package. JMIR Publications 2019-10-31 /pmc/articles/PMC6914248/ /pubmed/31642810 http://dx.doi.org/10.2196/16194 Text en ©Elon Musk, Neuralink. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 31.10.2019. https://creativecommons.org/licenses/by-nd/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by-nd/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited and not altered. |
spellingShingle | White Paper Musk, Elon An Integrated Brain-Machine Interface Platform With Thousands of Channels |
title | An Integrated Brain-Machine Interface Platform With Thousands of Channels |
title_full | An Integrated Brain-Machine Interface Platform With Thousands of Channels |
title_fullStr | An Integrated Brain-Machine Interface Platform With Thousands of Channels |
title_full_unstemmed | An Integrated Brain-Machine Interface Platform With Thousands of Channels |
title_short | An Integrated Brain-Machine Interface Platform With Thousands of Channels |
title_sort | integrated brain-machine interface platform with thousands of channels |
topic | White Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6914248/ https://www.ncbi.nlm.nih.gov/pubmed/31642810 http://dx.doi.org/10.2196/16194 |
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