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

Propagation of Action Potentials01:23

Propagation of Action Potentials

6.7K
The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
6.7K
Action Potential01:14

Action Potential

8.2K
Neurons communicate by firing action potentials—the electrochemical signal that is propagated along the axon. The signal results in the release of neurotransmitters at axon terminals, thereby transmitting information to the nervous system. An action potential is a specific "all-or-none" change in membrane potential that results in a rapid spike in voltage.
Membrane potential in neurons
Neurons typically have a resting membrane potential of about -70 millivolts (mV). When they receive...
8.2K

You might also read

Related Articles

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

Sort by
Same author

Mathematical relationships between spinal motoneuron properties.

eLife·2022
Same author

Standard intensities of transcranial alternating current stimulation over the motor cortex do not entrain corticospinal inputs to motor neurons.

The Journal of physiology·2022
Same author

Correlation networks of spinal motor neurons that innervate lower limb muscles during a multi-joint isometric task.

The Journal of physiology·2022
Same author

Reducing the Calibration Time in Somatosensory BCI by Using Tactile ERD.

IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society·2022
Same author

The control and training of single motor units in isometric tasks are constrained by a common input signal.

eLife·2022
Same author

Motor Unit Discharge Patterns in Response to Focal Tendon Vibration of the Lower Limb in Cats and Humans.

Frontiers in integrative neuroscience·2022

Related Experiment Video

Updated: Sep 4, 2025

Multi-unit Recording Methods to Characterize Neural Activity in the Locust Schistocerca Americana Olfactory Circuits
12:13

Multi-unit Recording Methods to Characterize Neural Activity in the Locust Schistocerca Americana Olfactory Circuits

Published on: January 25, 2013

27.2K

An Accurate and Real-Time Method for Resolving Superimposed Action Potentials in MultiUnit Recordings.

Mehdi Shirzadi, Hamid R Marateb, Kevin C McGill

    IEEE Transactions on Bio-Medical Engineering
    |July 21, 2022
    PubMed
    Summary
    This summary is machine-generated.

    A new algorithm effectively separates overlapping muscular and neural action potentials (APs). This method shows promise for real-time neural decoding applications.

    More Related Videos

    Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology
    10:52

    Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology

    Published on: April 23, 2019

    13.1K
    Acute In Vivo Electrophysiological Recordings of Local Field Potentials and Multi-unit Activity from the Hyperdirect Pathway in Anesthetized Rats
    10:46

    Acute In Vivo Electrophysiological Recordings of Local Field Potentials and Multi-unit Activity from the Hyperdirect Pathway in Anesthetized Rats

    Published on: June 22, 2017

    15.8K

    Related Experiment Videos

    Last Updated: Sep 4, 2025

    Multi-unit Recording Methods to Characterize Neural Activity in the Locust Schistocerca Americana Olfactory Circuits
    12:13

    Multi-unit Recording Methods to Characterize Neural Activity in the Locust Schistocerca Americana Olfactory Circuits

    Published on: January 25, 2013

    27.2K
    Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology
    10:52

    Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology

    Published on: April 23, 2019

    13.1K
    Acute In Vivo Electrophysiological Recordings of Local Field Potentials and Multi-unit Activity from the Hyperdirect Pathway in Anesthetized Rats
    10:46

    Acute In Vivo Electrophysiological Recordings of Local Field Potentials and Multi-unit Activity from the Hyperdirect Pathway in Anesthetized Rats

    Published on: June 22, 2017

    15.8K

    Area of Science:

    • Neuroscience
    • Biomedical Engineering
    • Signal Processing

    Background:

    • Spike sorting in muscular and neural recordings is challenging due to superimposed action potentials (APs) overlapping in time.
    • Accurate separation of these superimposed APs is crucial for effective neural decoding and interfacing.

    Purpose of the Study:

    • To develop and evaluate a novel algorithm for resolving superimposed action potentials in intramuscular EMG (iEMG) and intracortical recordings.
    • To compare the performance of the proposed algorithm against existing methods like the Branch-and-Bound (BB) algorithm.

    Main Methods:

    • The proposed algorithm utilizes Discrete Brute force Correlation (DBC) and High-Resolution BC (HRBC) for estimating time shifts of superimposed APs.
    • A fused version (FHRBC) incorporating additional cost functions was also developed.
    • Algorithms were implemented in parallel and tested on extensive simulated datasets and experimental iEMG signals.

    Main Results:

    • The DBC, HRBC, and FHRBC algorithms achieved average accuracies of 92.16±17.70%, 93.65±16.89%, and 94.90±15.15% on simulated data, respectively.
    • The DBC algorithm demonstrated superior performance based on the Rank-Product (RP) method.
    • For experimental signals, the DBC algorithm achieved 92.1±21.7% accuracy with a running time of 2.3±15.3 ms.

    Conclusions:

    • The developed algorithm, particularly DBC, is highly accurate and efficient in resolving superimposed action potentials.
    • The proposed method holds significant potential for advancing real-time neural decoding and brain-computer interfaces.