Evidence map›Paper›PMID 31642810›Full record

ArticleJournal of medical Internet research2019

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

Elon Musk, Neuralink

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 350 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
350citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

350 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Guideline
  3. Pooled it
  4. Article
  5. Review
  6. Article
  7. Article
  8. Three-dimensional microelectrode arrays forBiomedical engineering letters · 2026
    Review
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  10. Article
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  15. NongeneticACS nano · 2026
    Article
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  19. Conductive Hydrogels for Exogenous Sensing and Cell Fate Control.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  20. Article

290 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Elon MuskNeuralink, San Francisco, CA, United States.ORCID 0000-0001-8013-3548
Neuralink *Neuralink, San Francisco, CA, United States.

Funding

Single neuron mechanisms of sensory-motor learningR01NS089679 · NINDS · UNIVERSITY OF OREGON · PI GARDNER, TIMOTHY JAMES · 2014 to 2018
$1.8M
NINDS NIH HHS R01 NS089679
6 · The paper itself

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

Indexed as

Brain-Computer InterfacesHumansSensationbrain-machine interfacemotor functionneurologysensory function

Identifiers

PMID31642810
PMCPMC6914248

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.