Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Neurons as Communicators of the Brain

Neurons as Communicators of the Brain

Neurons, the fundamental units of the brain and nervous system, function as the primary transmitters of information throughout the body. Their ability to communicate through electrical and chemical signals is vital for every bodily function, from regulating the heartbeat to processing complex thoughts. Each neuron has three main components: the cell body (soma), dendrites, and an axon, each specialized to facilitate swift and efficient neural communication.
Cell Body
The cell body, also known...

You might also read

Related Articles

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

Sort by

Same author

Machine learning surrogate forward models for biomechanical laryngeal control.

bioRxiv : the preprint server for biology·2026

Same author

Exploring Photobiomodulation as a Potential Novel Intervention for Developmental Stuttering: A Review and Hypothesis.

Journal of clinical medicine·2026

Same author

The Speech Network in Childhood Stuttering: Differences in Functional Connectivity of the Planning and Motor Loops.

Neurobiology of language (Cambridge, Mass.)·2026

Same author

Practice Parameters That Influence Vocal Motor Adaptation in Altered Auditory Feedback Paradigms.

Journal of speech, language, and hearing research : JSLHR·2026

Same author

An Imaging-Guided Neural Model Explains Lexical Stress Alteration in Acquired Apraxia of Speech.

Human brain mapping·2025

Same author

Noninvasive Neurostimulation to the Inferior Frontal Sulcus or Cerebellum Improves Accuracy But Not Timing in a Speech Motor Learning Task.

Neurobiology of language (Cambridge, Mass.)·2025

Same journal

Analysis of End-Tidal CO2 Variability During Plateau Waves Episodes: An Information Theoretic Approach<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

AI and Tomosynthesis for Breast Cancer Molecular Subtyping: A step toward precision medicine<sup></sup>.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

Towards Sustainable Protein Recovery from Biological Waste: Assessing Polyethersulfone-based Microfiltration.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

Analysis of the cardiovascular response to standardized polymicrobial peritonitis experimental model.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

Automated Wrist Ultrasound Image Bone Enhancement and Segmentation Using Deep Learning.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

Same journal

A Deep Learning approach for Depressive Symptoms assessment in Parkinson's disease patients using facial videos.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference·2025

See all related articles

Search research articles

Related Experiment Video

Updated: May 14, 2026

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

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

Published on: April 18, 2025

The Unlock Project: a Python-based framework for practical brain-computer interface communication "app" development.

Jonathan S Brumberg¹, Sean D Lorenz, Byron V Galbraith

¹Department of Speech-Language-Hearing, University of Kansas, Lawrence, KS, USA.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

|February 1, 2013

Summary

This summary is machine-generated.

This study introduces a framework to accelerate the development of non-invasive brain-computer interface (BCI) applications. The system streamlines app creation for mobile EEG platforms, enabling faster BCI innovation.

More Related Videos

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

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

Published on: March 10, 2011

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

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

Published on: July 7, 2023

Related Experiment Videos

Last Updated: May 14, 2026

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

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

Published on: April 18, 2025

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

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

Published on: March 10, 2011

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

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

Published on: July 7, 2023

Area of Science:

Neuroscience
Computer Science
Biomedical Engineering

Background:

Developing applications for brain-computer interfaces (BCI) is time-consuming.
Existing BCI development lacks the rapid application development seen in consumer electronics.
Integration of hardware and software modules presents a significant challenge.

Purpose of the Study:

To present a novel framework for reducing the development time of non-invasive brain-computer interface (BCI) applications.
To facilitate rapid software development for BCI, similar to mobile app ecosystems.
To provide a standardized approach for intermodule communication and hardware integration in BCI systems.

Main Methods:

Developed a framework with a core subsystem for automated intermodule communication using standard data formats.
Integrated a library of hardware interfaces for common mobile electroencephalography (EEG) platforms.
Implemented and tested the framework in a real-time BCI protocol for a user with amyotrophic lateral sclerosis.

Main Results:

The framework enables rapid software "app" development for BCI applications.
Automated intermodule communication reduces developer implementation burden.
The system demonstrated real-time performance with 50-60 Hz updates and minimal system lag (5 ms).
Accurate data acquisition and signal analysis were achieved.

Conclusions:

The proposed framework significantly reduces BCI application development time.
The system supports rapid, efficient, and accurate BCI development for diverse users.
This approach accelerates innovation in non-invasive brain-computer interfaces.