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

Synaptic Signaling01:12

Synaptic Signaling

Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
The Synapse02:47

The Synapse

Neurons communicate with one another by passing on their electrical signals to other neurons. A synapse is the location where two neurons meet to exchange signals. At the synapse, the neuron that sends the signal is called the presynaptic cell, while the neuron that receives the message is called the postsynaptic cell. Note that most neurons can be both presynaptic and postsynaptic, as they both transmit and receive information.
Synaptic Signaling01:09

Synaptic Signaling

Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
Most synapses are chemical, meaning an electrical impulse or action potential spurs the release of chemical messengers called neurotransmitters. The neuron sending the signal is called the presynaptic neuron, and the neuron receiving the signal is the postsynaptic neuron.
The presynaptic neuron fires an action potential that...
Electrical Synapses01:28

Electrical Synapses

Electrical synapses found in all nervous systems play important and unique roles. In these synapses, the presynaptic and postsynaptic membranes are very close together (3.5 nm) and are actually physically connected by channel proteins forming gap junctions.
Gap junctions allow the current to pass directly from one cell to the next. In contrast, in the chemical synapse, the neurotransmitters carry the information through the synaptic cleft from one neuron to the next. They consist of two...
Neurons as Communicators of the Brain01:22

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...
Neuronal Communication01:28

Neuronal Communication

Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...

You might also read

Related Articles

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

Sort by
Same author

A novel deep learning network for small bowel ulcerative lesion detection and differential diagnosis on double-balloon endoscopy images.

Biomedical physics & engineering express·2026
Same author

Dynamics of mesoscale brain network during visual discrimination learning revealed by chronic, large-scale single-unit recording.

eLife·2026
Same author

Deep ensemble framework with Bayesian optimization for multi-lesion recognition in capsule endoscopy images.

Medical & biological engineering & computing·2025
Same author

Cascade-E-Yolov5s network for recognizing the ulcerative lesion subtypes in small intestinal.

The Review of scientific instruments·2025
Same author

Modeling and Analysis of Environmental Electromagnetic Interference in Multiple-Channel Neural Recording Systems for High Common-Mode Interference Rejection Performance.

Biosensors·2024
Same author

Explainable AI Method for Tinnitus Diagnosis via Neighbor-Augmented Knowledge Graph and Traditional Chinese Medicine: Development and Validation Study.

JMIR medical informatics·2024

Related Experiment Video

Updated: Jun 27, 2026

A Wireless, Bidirectional Interface for In Vivo Recording and Stimulation of Neural Activity in Freely Behaving Rats
10:41

A Wireless, Bidirectional Interface for In Vivo Recording and Stimulation of Neural Activity in Freely Behaving Rats

Published on: November 7, 2017

13.9K

Revolutionizing brain-computer interfaces: Compact and high-speed wireless neural signal acquisition.

Mingfeng Liu1, Xudong Guo1, Liling Cao2

  • 1School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.

The Review of Scientific Instruments
|October 1, 2025
PubMed
Summary

This study introduces a high-channel-count, wireless neural signal acquisition system for brain-computer interfaces (BCIs). The FPGA-based system achieves high-throughput, real-time brain neural signal recording with excellent signal quality.

More Related Videos

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

3.1K
Author Spotlight: Low-Cost Electroencephalographic Recording System Combined with a Millimeter-Sized Coil to Transcranially Stimulate the Mouse Brain In Vivo
05:26

Author Spotlight: Low-Cost Electroencephalographic Recording System Combined with a Millimeter-Sized Coil to Transcranially Stimulate the Mouse Brain In Vivo

Published on: May 26, 2023

4.4K

Related Experiment Videos

Last Updated: Jun 27, 2026

A Wireless, Bidirectional Interface for In Vivo Recording and Stimulation of Neural Activity in Freely Behaving Rats
10:41

A Wireless, Bidirectional Interface for In Vivo Recording and Stimulation of Neural Activity in Freely Behaving Rats

Published on: November 7, 2017

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

3.1K
Author Spotlight: Low-Cost Electroencephalographic Recording System Combined with a Millimeter-Sized Coil to Transcranially Stimulate the Mouse Brain In Vivo
05:26

Author Spotlight: Low-Cost Electroencephalographic Recording System Combined with a Millimeter-Sized Coil to Transcranially Stimulate the Mouse Brain In Vivo

Published on: May 26, 2023

4.4K

Area of Science:

  • Neuroscience
  • Biomedical Engineering
  • Electrical Engineering

Background:

  • Brain-computer interfaces (BCIs) require advanced neural signal acquisition systems.
  • Existing systems face limitations in channel count, sampling rate, and miniaturization.
  • High-throughput, high-speed, and miniaturized BCIs are crucial for advancing neural data recording.

Purpose of the Study:

  • To develop a high-channel-count, wireless neural signal acquisition system.
  • To overcome the limitations of current BCI signal acquisition technologies.
  • To enable high-resolution, real-time neural recordings for BCI applications.

Main Methods:

  • Developed a wireless neural signal acquisition system utilizing FPGA technology.
  • Implemented a stacked architecture for compact, low-power wireless transmission.
  • Conducted laboratory electrical performance tests and animal experiments with mice.

Main Results:

  • The system supports 1024 channels at 32 kSPS.
  • Achieved a noise voltage of 8.56 μVrms, close to the specified 6 μVrms.
  • Demonstrated reliable real-time acquisition of mouse brain neural signals with signal-to-noise ratios between 28.66 and 30.56 dB.

Conclusions:

  • The developed FPGA-based system offers a high-throughput, high-speed, and miniaturized solution for neural signal acquisition.
  • The system's performance validates its capability for reliable, real-time brain neural signal recording.
  • This advancement supports the development of next-generation BCIs demanding high-resolution neural data.