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

Introduction to Cognitive Psychology01:20

Introduction to Cognitive Psychology

2.2K
Cognitive psychology is the field of psychology dedicated to examining how people think. It attempts to explain how and why we think the way we do by studying the interactions among human thinking, emotion, creativity, language, and problem-solving, as well as other cognitive processes. Cognitive psychology studies how information is processed and manipulated in remembering, thinking, and knowing.
This field emerged in the mid-20th century, following a period dominated by behaviorism, which...
2.2K
Neural Control of Respiration01:18

Neural Control of Respiration

4.5K
The neural regulation of respiration is a meticulously coordinated process primarily controlled by the respiratory centers located within the brainstem. These centers, composed of specialized neurons, transmit nerve impulses that control the contraction and relaxation of our respiratory muscles.
Respiratory Centers in the Brainstem
Two primary areas comprise the respiratory center: the medullary respiratory center in the medulla oblongata and the pontine respiratory group in the pons. The...
4.5K
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

378
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence of...
378
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

204
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
204
Non-equilibrium in the Cell01:16

Non-equilibrium in the Cell

5.3K
An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...
5.3K
Control Systems: Applications01:25

Control Systems: Applications

1.1K
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
1.1K

You might also read

Related Articles

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

Sort by
Same author

EZH2: an epigenetic governor of T-cell Ca<sup>2+</sup> homeostasis.

Cellular & molecular immunology·2026
Same author

Itaconate induces noncanonical AIM2-dependent PANoptosis in sepsis.

Cellular & molecular immunology·2026
Same author

Staged endovascular management for non-maturing arteriovenous fistulas: A single-center retrospective cohort study.

The journal of vascular access·2026
Same author

Recent advances in Mpox across innate immunity, evasion, and clinical outcomes.

Communications biology·2026
Same author

CDK1 and CEP97 cooperatively control centriole length to orchestrate ciliogenesis and developmental patterning.

Genes & development·2026
Same author

Integrative Analysis of Cellular Senescence-Related Genes Identifies FOLR1 as a Novel Tumor Suppressor and a Potential Therapeutic Target in Lung Adenocarcinoma.

Cancers·2026
Same journal

Algorithm-hardware co-design of neuromorphic networks with dual memory pathways.

Nature machine intelligence·2026
Same journal

Plagiarism in the Age of Generative Artificial Intelligence: The advent of generative artificial intelligence (GenAI) tools is challenging the scientific community's understanding of the meaning and significance of plagiarism. A new definition of research misconduct is needed that specifically addresses the use of GenAI writing tools.

Nature machine intelligence·2026
Same journal

Platonic representation of foundation machine learning interatomic potentials.

Nature machine intelligence·2026
Same journal

Immunotherapy drug target identification using machine learning and patient-derived tumour explant validation.

Nature machine intelligence·2026
Same journal

A generative artificial intelligence approach for peptide antibiotic optimization.

Nature machine intelligence·2026
Same journal

LLMs displaying less cognitive bias are not necessarily better decision makers.

Nature machine intelligence·2026
See all related articles

Related Experiment Video

Updated: Jan 11, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

5.1K

Brain-computer interface control with artificial intelligence copilots.

Johannes Y Lee1,2, Sangjoon Lee1,2, Abhishek Mishra1,2

  • 1Department of Electrical and Computer Engineering, University of California, Los Angeles, CA, USA.

Nature Machine Intelligence
|November 12, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces AI-BCIs using shared autonomy to enhance brain-computer interface performance for individuals with paralysis. AI copilots significantly improve cursor control and robotic arm tasks, making BCIs more clinically viable.

More Related Videos

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

1.5K
High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
06:11

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity

Published on: September 26, 2025

788

Related Experiment Videos

Last Updated: Jan 11, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

5.1K
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

1.5K
High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity
06:11

High-definition Transcranial Direct Current Stimulation over Right Dorsolateral Prefrontal Cortex to Enhance Metacognitive Sensitivity

Published on: September 26, 2025

788

Area of Science:

  • Neuroscience
  • Artificial Intelligence
  • Rehabilitation Engineering

Background:

  • Motor brain-computer interfaces (BCIs) decode neural signals to aid individuals with paralysis.
  • Clinical viability of BCIs is hindered by performance limitations relative to costs and risks.

Purpose of the Study:

  • To significantly increase BCI performance using shared autonomy with AI copilots.
  • To demonstrate an AI-BCI system using non-invasive electroencephalography (EEG) signals.

Main Methods:

  • Developed a hybrid adaptive decoding approach combining convolutional neural networks and ReFIT-like Kalman filters.
  • Implemented two AI copilots to assist BCI users in cursor control and robotic arm tasks.
  • Utilized EEG signals for decoding neural activity in healthy users and a participant with paralysis.

Main Results:

  • Enabled healthy users and a participant with paralysis to control computer cursors and robotic arms.
  • Achieved 3.9-times higher performance in target hit rate for cursor control in a participant with paralysis.
  • Enabled a participant with paralysis to perform complex robotic arm block manipulation tasks.

Conclusions:

  • AI-BCIs with shared autonomy show potential to overcome performance limitations of traditional BCIs.
  • Shared autonomy may enhance the clinical viability and functional capabilities of BCIs for individuals with paralysis.
  • Further advancements in AI copilots could lead to even greater BCI performance and user independence.