Suppr超能文献

一个具有数千个通道的集成脑机接口平台。

An Integrated Brain-Machine Interface Platform With Thousands of Channels.

作者信息

Musk Elon

机构信息

Neuralink, San Francisco, CA, United States.

出版信息

J Med Internet Res. 2019 Oct 31;21(10):e16194. doi: 10.2196/16194.

Abstract

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. 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.

摘要

脑机接口有望恢复感觉和运动功能并治疗神经疾病,但临床脑机接口尚未得到广泛应用,部分原因是通道数量有限限制了其潜力。在本白皮书中,我们描述了Neuralink迈向可扩展的高带宽脑机接口系统的第一步。我们制造了小型灵活电极“线”阵列,每个阵列多达3072个电极分布在96根线上。我们还制造了一种神经外科机器人,每分钟能够插入6根线(192个电极)。每根线都可以以微米精度单独插入大脑,以避开表面血管并靶向特定脑区。电极阵列被封装在一个小型可植入设备中,该设备包含用于低功耗板载放大和数字化的定制芯片:3072通道的封装尺寸小于23×18.5×2毫米。一根USB-C电缆可提供来自该设备的全带宽数据流,同时记录所有通道的数据。该系统在长期植入电极中实现了高达70%的尖峰产量。Neuralink的脑机接口方法在临床相关封装中具有前所未有的封装密度和可扩展性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0eee/6914248/516a35665514/jmir_v21i10e16194_fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验