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

Energy Stored In A Coaxial Cable01:31

Energy Stored In A Coaxial Cable

2.2K
A coaxial cable consists of a central copper conductor used for transmitting signals, followed by an insulator shield, a metallic braided mesh that prevents signal interference, and a plastic layer that encases the entire assembly.
In the simplest form, a coaxial cable can be represented by two long hollow concentric cylinders in which the current flows in opposite directions. The magnetic field inside and outside the coaxial cable is determined by using Ampère's law. The magnetic field inside...
2.2K
Action Potential01:14

Action Potential

6.9K
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...
6.9K
Action Potential01:14

Action Potential

12.0K
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 receive...
12.0K
Neurons: The Axon01:21

Neurons: The Axon

10.7K
Axons are long, cytoplasmic processes of nerve cells capable of propagating electrical impulses known as action potentials. The cytoplasm or axoplasm of an axon contains neurofibrils, neurotubules, small vesicles, lysosomes, mitochondria, and various enzymes, all encased within the axolemma, the plasma membrane of the axon.
The axon attaches to the cell body at a cone-shaped elevation called the axon hillock. The initial part of the axon, closest to the hillock, is known as the initial segment....
10.7K
Action Potentials01:41

Action Potentials

148.6K
Overview
148.6K
Cable Subjected to Its Own Weight01:13

Cable Subjected to Its Own Weight

855
Overhead power transmission lines rely on cables to carry electricity across large distances. To ensure the stability and functionality of these lines, it is crucial to understand the shape and tension experienced by the cables under the influence of their weight.
A generalized loading function is employed to analyze a cable subjected to its own weight. This function considers the force acting along the cable's arc length rather than its projected length, providing a more accurate...
855

You might also read

Related Articles

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

Sort by
Same author

A Radial Modulus-Gradient Fiber for Chronic Recording and Decoding in Deep Brain.

Advanced materials (Deerfield Beach, Fla.)·2026
Same author

Aberrantly integrated adult-born immature neurons disrupt brain-wide networks during spatial memory processing.

Molecular psychiatry·2025
Same author

From image to report: automating lung cancer screening interpretation and reporting with vision-language models.

Journal of biomedical informatics·2025
Same author

Leveraging pre-trained machine learning models for islet quantification in type 1 diabetes.

Journal of pathology informatics·2024
Same author

Enhanced brain network flexibility by physical exercise in female methamphetamine users.

Cognitive neurodynamics·2024
Same author

Progress of the Impact of Terahertz Radiation on Ion Channel Kinetics in Neuronal Cells.

Neuroscience bulletin·2024
Same journal

Peripheral B-cell receptor repertoire predicts immune-related adverse events following immune checkpoint inhibitor therapy in advanced renal cell carcinoma.

Scientific reports·2026
Same journal

Effects of black soldier fly (Hermetia illucens L.) larvae zoocompost on the mineral element content of blue honeysuckle berries.

Scientific reports·2026
Same journal

Investigation on absorption refrigeration performance of R1243zf with imidazolium ionic liquid as the working pairs.

Scientific reports·2026
Same journal

DeepTriage-CN: integrating clinical text with vital signs for emergency department admission prediction in an aging population.

Scientific reports·2026
Same journal

Gold nanoparticles as dual-action antiviral agents: disruption of SARS-CoV-2 viral envelopes and RNA integrity.

Scientific reports·2026
Same journal

Comparison of capillary microsampling and venous blood for multi-pathogen serosurveillance.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Mar 17, 2026

Measuring Axonal Cargo Transport in Mouse Primary Cortical Cultured Neurons
04:39

Measuring Axonal Cargo Transport in Mouse Primary Cortical Cultured Neurons

Published on: February 24, 2023

617

Cable energy function of cortical axons.

Huiwen Ju1, Michael L Hines2, Yuguo Yu1

  • 1School of Life Science and the Collaborative Innovation Center for Brain Science, Center for Computational Systems Biology, Fudan University, Shanghai 200433, China.

Scientific Reports
|July 22, 2016
PubMed
Summary
This summary is machine-generated.

Estimating the metabolic cost of action potentials (APs) is crucial for brain energy research. This study reveals that traditional methods underestimate AP energy consumption by 20-70%, highlighting the need for more accurate models.

More Related Videos

Rewiring Neuronal Circuits: A New Method for Fast Neurite Extension and Functional Neuronal Connection
10:26

Rewiring Neuronal Circuits: A New Method for Fast Neurite Extension and Functional Neuronal Connection

Published on: June 13, 2017

9.3K
In Situ Visualization of Axon Growth and Growth Cone Dynamics in Acute Ex Vivo Embryonic Brain Slice Cultures
10:45

In Situ Visualization of Axon Growth and Growth Cone Dynamics in Acute Ex Vivo Embryonic Brain Slice Cultures

Published on: October 14, 2021

4.2K

Related Experiment Videos

Last Updated: Mar 17, 2026

Measuring Axonal Cargo Transport in Mouse Primary Cortical Cultured Neurons
04:39

Measuring Axonal Cargo Transport in Mouse Primary Cortical Cultured Neurons

Published on: February 24, 2023

617
Rewiring Neuronal Circuits: A New Method for Fast Neurite Extension and Functional Neuronal Connection
10:26

Rewiring Neuronal Circuits: A New Method for Fast Neurite Extension and Functional Neuronal Connection

Published on: June 13, 2017

9.3K
In Situ Visualization of Axon Growth and Growth Cone Dynamics in Acute Ex Vivo Embryonic Brain Slice Cultures
10:45

In Situ Visualization of Axon Growth and Growth Cone Dynamics in Acute Ex Vivo Embryonic Brain Slice Cultures

Published on: October 14, 2021

4.2K

Area of Science:

  • Neuroscience
  • Computational Biology
  • Biophysics

Background:

  • Accurate estimation of action potential (AP)-related metabolic cost is vital for understanding brain energetic constraints.
  • Previous methods, like the Na(+)-counting method, limit precise metabolic cost assessment of ionic currents during AP conduction.

Purpose of the Study:

  • To derive a comprehensive cable energy function for cortical axons using Hodgkin-Huxley (HH) neuronal equations.
  • To precisely estimate the energy consumption of AP conduction along axons of varying geometric shapes.
  • To compare the accuracy of the new model against the Na(+)-counting method.

Main Methods:

  • Derivation of a full cable energy function based on classic Hodgkin-Huxley neuronal equations.
  • Application of the derived function to estimate energy consumption for AP conduction in diverse axonal geometries.
  • Analytical prediction of metabolic cost distribution along axons with uniform and non-uniform ion channel distributions.

Main Results:

  • The Na(+)-counting method significantly underestimates energy cost in the cable model by 20-70%.
  • AP propagation in longer axons requires over 15% more energy per unit area compared to point models.
  • Metabolic cost distribution is inhomogeneous along axons, influenced by ion channel distribution and AP states.
  • A 3/4 power law relationship was inferred between the metabolic rate of cortical axonal branches and spatial volume.

Conclusions:

  • The derived cable energy function provides a more accurate assessment of AP metabolic cost than previous methods.
  • Axonal geometry, ion channel distribution, and branching complexity significantly impact energy consumption.
  • The findings offer insights into the energetic constraints of neuronal signaling and brain function.