An Integrated Brain-Machine Interface Platform With Thousands of Channels

计算机科学 可扩展性 脑-机接口 计算机硬件 通用串口总线 电极阵列 嵌入式系统 接口(物质) 神经科学 电压 工程类 电气工程 操作系统 软件 气泡 最大气泡压力法 脑电图 生物
作者
Elon Musk,Neuralink
出处
期刊:Journal of Medical Internet Research 卷期号:21 (10): e16194-e16194 被引量:469
标识
DOI:10.2196/16194
摘要

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 mm3. 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.
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