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

6.1K
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...
6.1K
Action Potential01:31

Action Potential

8.0K
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...
8.0K
Generation of Action Potential in Skeletal Muscles01:24

Generation of Action Potential in Skeletal Muscles

4.7K
Every cell in the body maintains a membrane potential due to an uneven distribution of positive and negative charges across its plasma membrane. The membrane potential is measured in millivolts and quantifies the difference in charge across the membrane.
Like neurons, muscle cells are also regarded as excitable due to their capacity to change in response to stimuli, primarily due to voltage-gated ion channels embedded in their plasma membranes, which get activated by alterations in the...
4.7K
Action Potentials01:41

Action Potentials

131.9K
Overview
131.9K
Cardiac Action Potential01:30

Cardiac Action Potential

1.9K
Cardiac action potentials are essential for proper heart function, enabling the rhythmic contractions needed for adequate blood circulation. Nodal cells and Purkinje fibers, specialized for electrical conduction, generate these action potentials.
The cardiac action potential process involves a series of phases characterized by the movement of ions across the cardiac cell membranes, leading to the depolarization and repolarization of the cardiac myocytes.
Ionic Basis of Cardiac Action Potentials
1.9K
Action Potential: Phases of Stimulation01:28

Action Potential: Phases of Stimulation

6.2K
The action potential is a complex electrical event that occurs in excitable cells, such as neurons and muscle cells. It consists of several distinct phases, each with specific characteristics.
Resting Phase:
In this phase, the cell's membrane is at its resting potential, typically around -70 millivolts (mV) for neurons. Inside the cell, there is a higher concentration of potassium ions (K+) and a lower concentration of sodium ions (Na+). Voltage-gated sodium channels are closed, and...
6.2K

You might also read

Related Articles

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

Sort by
Same author

A Comparison of Four Selected Acoustic Measures in Detecting Voice Quality Changes With Botulinum Toxin Treatment in Adductor-Type Laryngeal Dystonia.

American journal of speech-language pathology·2026
Same author

Duration effects on detection cues in simultaneous masking: Analysis using decision variable correlationa).

The Journal of the Acoustical Society of America·2025
Same author

Evidence for the Auditory Nerve Generating Envelope Following Responses When Measured from Eardrum Electrodes.

Journal of the Association for Research in Otolaryngology : JARO·2025
Same author

Human Olivocochlear Effects: A Statistical Detection Approach Applied to the Cochlear Microphonic Evoked by Swept Tones.

Journal of the Association for Research in Otolaryngology : JARO·2024
Same author

Effects of contralateral noise on envelope-following responses, auditory-nerve compound action potentials, and otoacoustic emissions measured simultaneously.

The Journal of the Acoustical Society of America·2024
Same author

Subcortical auditory model including efferent dynamic gain control with inputs from cochlear nucleus and inferior colliculus.

The Journal of the Acoustical Society of America·2023

Related Experiment Video

Updated: Aug 1, 2025

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

1.8K

Computational modeling of the human compound action potential.

Yousef Alamri1, Skyler G Jennings2

  • 1Department of Biomedical Engineering, The University of Utah, 390 South, 1530 East, BEHS 1201, Salt Lake City, Utah 84112, USA.

The Journal of the Acoustical Society of America
|April 24, 2023
PubMed
Summary

This study models the human auditory nerve (AN) compound action potential (CAP) using computational simulations. The models accurately predict human CAPs, aiding auditory disorder research and surgical monitoring.

More Related Videos

Modeling Biological Membranes with Circuit Boards and Measuring Electrical Signals in Axons: Student Laboratory Exercises
13:56

Modeling Biological Membranes with Circuit Boards and Measuring Electrical Signals in Axons: Student Laboratory Exercises

Published on: January 18, 2011

22.8K
Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

11.5K

Related Experiment Videos

Last Updated: Aug 1, 2025

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches
10:50

Computational Modeling of Retinal Neurons for Visual Prosthesis Research - Fundamental Approaches

Published on: June 21, 2022

1.8K
Modeling Biological Membranes with Circuit Boards and Measuring Electrical Signals in Axons: Student Laboratory Exercises
13:56

Modeling Biological Membranes with Circuit Boards and Measuring Electrical Signals in Axons: Student Laboratory Exercises

Published on: January 18, 2011

22.8K
Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

11.5K

Area of Science:

  • Auditory Neuroscience
  • Computational Biology
  • Biomedical Engineering

Background:

  • The auditory nerve (AN) compound action potential (CAP) is crucial for evaluating auditory function and monitoring the auditory periphery during surgery.
  • Mathematically, the CAP is understood as the convolution of a unit response (UR) waveform and the firing rate of AN fibers.

Purpose of the Study:

  • To develop and validate a computational approach for predicting human auditory nerve compound action potentials (CAPs).
  • To assess the utility of human-based computational models in simulating AN activity for various auditory stimuli.

Main Methods:

  • Simulated CAPs using human-based computational models of AN activity.
  • Tested simulations with various stimuli: clicks, chirps, amplitude-modulated carriers, and narrowband CAPs (from noise-masked clicks and tone bursts).
  • Compared simulated CAPs with experimentally recorded CAPs from human subjects.

Main Results:

  • Simulations successfully captured many morphological, temporal, and spectral characteristics of human CAPs across all tested stimuli.
  • The model demonstrated accuracy in predicting CAPs elicited by clicks, chirps, amplitude-modulated carriers, and narrowband noise-masked stimuli.
  • High fidelity was observed between simulated and empirical CAPs, validating the computational approach.

Conclusions:

  • Model simulations of human CAPs are effective for refining existing human-based auditory models.
  • These simulations can assist in designing and analyzing auditory experiments.
  • The approach holds potential for predicting the impact of hearing loss, synaptopathy, and other auditory disorders on human CAPs.