Devices

Independent 7 µm wide, 1.5 µm thick electrode tendrils. The 2024 paper reports cerebellar single-unit recordings and at least seven weeks of rat recordings without repositioning.

Device — Intracortical

NeuroRoots (independent flexible electrode tendrils)

Official site →

flexible · tendrils · Stanford · Cambridge · cerebellum · academic · preclinical

NeuroRoots

Independent electrode tendrils, rather than a single planar shank. Each root is 7 µm wide and 1.5 µm thick. The 2024 paper describes a microscale delivery method using commercially available apparatus.

What was shown

High-density single-unit recording from the cerebellum in vitro and in vivo.
Action potentials recorded in several brain regions for at least seven weeks during behavioral experiments in freely moving rats.
No adjustment of electrode position during those recordings.

These are preclinical recording results. The abstract does not report human implantation or control of an assistive device.

Geometry and evidence limits

Field	Published detail
Root width	7 µm
Root thickness	1.5 µm
Architecture	Separate, mechanically independent electrode tendrils
Recording duration	At least seven weeks in rats
Channel count and contact geometry	Not given in the abstract used for this entry
Full 3D model	Not added; root length, contact layout and delivery geometry are not grounded here

The paper describes compliance and spatial distribution inspired by axons. That does not make the implant a neuron or establish a lifetime interface.

Project history

Stanford’s 2019 Neuroscience:Translate award page describes NeuroRoots as a project aimed at a BCI platform for paralysis and eventual human translation. The 2024 paper supplies the recording evidence catalogued here. The award’s aim is not a clinical result.

Organizations

The paper’s affiliations include Stanford Materials Science and Engineering, Stanford Neurobiology, and Cambridge Engineering, with collaborators in Hungary, France and Sweden. The US affiliations make this a fit for the US-first catalog; the international affiliations are preserved.

Sources

Ferro MD, Proctor CM, Gonzalez A, et al. NeuroRoots, a bio-inspired, seamless brain machine interface for long-term recording in delicate brain regions. AIP Advances 14, 085109 (2024). DOI: 10.1063/5.0216979. Primary paper abstract and affiliations.
Stanford Wu Tsai Neurosciences Institute. NeuroRoots, brain/computer interface solution for paralysis, Neuroscience:Translate award, 2019.