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An Integrated Brain-Machine Interface Platform With Thousands of Channels

Journal of Medical Internet Research · 2019 · Vol. 21(10) · pp. e16194–e16194
Elon MuskNeuralink

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<sup>3</sup>. 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.

EEG and Brain-Computer InterfacesNeuroscience and Neural EngineeringNeural dynamics and brain functionBrain–computer interfaceComputer scienceInterface (matter)Human–computer interactionWorld Wide WebOperating systemPsychologyNeuroscience

MeSH terms

HumansSensationBrain-Computer Interfaces

Funding

  • Lawrence Livermore National Laboratory
Citations
1,017
FWCI
56.32
field-weighted impact
References
39
Percentile
100%
vs. same field & year
Citations per year
References
The origin of extracellular fields and currents — EEG, ECoG, LFP and spikes
Nature reviews. Neuroscience · 2012 · 4,338 citations
The Utah Intracortical Electrode Array: A recording structure for potential brain-computer interfaces
Electroencephalography and Clinical Neurophysiology · 1997 · 653 citations
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An Integrated Brain-Machine Interface Platform With Thousands of Channels · Scinovex