Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Cortical oscillations reflect opponent ensemble dynamics through coordinated multifrequency activity.

bioRxiv : the preprint server for biology·2026
Same author

A large-scale optogenetic neurophysiology platform for improving accessibility in non-human primate behavioral experiments.

Nature communications·2026
Same author

Divergent responses of glutamatergic and GABAergic prefrontal neurons underlie changes in excitability following low and high frequency repetitive brain stimulation.

Brain stimulation·2025
Same author

Manipulation of neuronal activity by an artificial spiking neural network implemented on a closed-loop brain-computer interface in non-human primates.

Journal of neural engineering·2025
Same author

Thalamic feedback shapes brain responses evoked by cortical stimulation in mice and humans.

Nature communications·2025
Same author

Dynamically Adjusting Intertemporal Choice Task in Rodents.

The European journal of neuroscience·2025
Same journal

Relationship between spontaneous EEG oscillations at 7 and 45 days of acute plateau exposure and the plateau acclimatization index.

Frontiers in neuroscience·2026
Same journal

Neuroprotective effects of paederoside against mitochondrial dysfunction in rotenone-induced cell models of Parkinson's disease.

Frontiers in neuroscience·2026
Same journal

Covariance-based analysis of spindle-band EEG during declarative and non-declarative odor cueing in sleep.

Frontiers in neuroscience·2026
Same journal

Correction: Physiological determinants of cortical P100 responses in pattern visual evoked potentials: a scoping review.

Frontiers in neuroscience·2026
Same journal

Transcranial magnetic stimulation and motor overflow: a systematic review in neurological disorders.

Frontiers in neuroscience·2026
Same journal

Editorial: Advancing neurodegenerative disease biomarkers: the role of neuroimaging in TDP-43 and tau proteinopathies.

Frontiers in neuroscience·2026
See all related articles

Related Experiment Video

Updated: Oct 21, 2025

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
06:11

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

972

Neurochip3: An Autonomous Multichannel Bidirectional Brain-Computer Interface for Closed-Loop Activity-Dependent

Larry E Shupe1,2, Frank P Miles2, Geoff Jones3

  • 1Department of Physiology & Biophysics, University of Washington, Seattle, WA, United States.

Frontiers in Neuroscience
|September 7, 2021
PubMed
Summary
This summary is machine-generated.

The Neurochip3 (NC3) is a compact, autonomous brain-computer interface enabling closed-loop stimulation for neuroprosthetics. It supports activity-dependent paradigms to enhance brain function and connections.

Keywords:
brain-computer interfaceclosed-loop stimulationneural recordingneural stimulationneurochipneuroprosthetics

More Related Videos

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

13.9K
A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

2.7K

Related Experiment Videos

Last Updated: Oct 21, 2025

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients
06:11

Brain-Computer Interface-controlled Upper Limb Robotic System for Enhancing Daily Activities in Stroke Patients

Published on: April 18, 2025

972
An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

13.9K
A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare
06:34

A Single-Channel and Non-Invasive Wearable Brain-Computer Interface for Industry and Healthcare

Published on: July 7, 2023

2.7K

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Neuroprosthetics

Background:

  • Brain-computer interfaces (BCIs) are crucial for neuroprosthetic applications.
  • Developing autonomous, closed-loop systems is essential for advanced neuroprosthetic functionality.
  • Previous BCI iterations have shown promise but require further development for practical applications.

Purpose of the Study:

  • To introduce the Neurochip3 (NC3), a multichannel bidirectional brain-computer interface.
  • To detail the NC3's components, functionality, and autonomous operation capabilities.
  • To highlight the NC3's utility in closed-loop stimulation for neuroprosthetic and neurorehabilitation applications.

Main Methods:

  • The Neurochip3 (NC3) integrates an analog front-end, digital control system, high-capacity storage, a stimulator, a battery pack, and communication ports.
  • Utilizes off-the-shelf components for a compact, head-mountable design suitable for non-human primates (NHPs).
  • Incorporates a 16-channel amplifier, FPGA and MCU for control, 128GB+ storage, and a 6-channel stimulator with ±60 V compliance.

Main Results:

  • The NC3 facilitates autonomous operation for up to 24 hours.
  • Successfully deployed in closed-loop operations to induce synaptic plasticity and bridge neural connections.
  • Demonstrated effectiveness in delivering activity-dependent intracranial reinforcement for neuroprosthetic applications.

Conclusions:

  • The Neurochip3 (NC3) is a versatile and autonomous BCI system for advanced neuroprosthetic applications.
  • Its closed-loop capabilities support paradigms for strengthening or replacing impaired neural connections.
  • NC3 shows significant potential in neurorehabilitation and advancing brain-computer interface technology.