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

Mesh Analysis with Current Sources01:10

Mesh Analysis with Current Sources

2.0K
Mesh analysis becomes simpler when analyzing circuits with current sources, whether independent or dependent. The presence of current sources reduces the number of equations required for analysis. Two cases illustrate this:
Current Source in One Mesh: The analysis process is straightforward when a current source is found in only one mesh within the circuit. Mesh currents are assigned as usual, with the mesh containing the current source excluded from the analysis. Kirchhoff's voltage law...
2.0K
Electrical Current01:10

Electrical Current

7.2K
Electrical current is defined as the rate at which charge flows. When there is a large current present, such as that used to run a refrigerator, a large amount of charge moves through the wire in a small amount of time. If the current is small, such as that used to operate a handheld calculator, a small amount of charge moves through the circuit over a long period of time. The SI unit for current is the ampere (A), named for the French physicist André-Marie Ampère (1775–1836).
7.2K
Neural Regulation01:37

Neural Regulation

43.5K
Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
43.5K
Sinusoidal Sources01:18

Sinusoidal Sources

1.2K
Direct current (DC) refers to an electric current that flows in a single direction, maintaining a constant polarity. This is in contrast to alternating current (AC), which periodically changes its direction and magnitude. AC forms the backbone of modern electricity transmission and distribution systems due to its efficient long-distance transmission capabilities.
In homes, the power supplies use sinusoidal sources to provide electricity. These sources generate a voltage that varies sinusoidally...
1.2K
AC Sources01:20

AC Sources

4.1K
Direct current is a flow of electric charge in only one direction and has a steady state of constant voltage in the circuit. Rectifiers, batteries, commutator-equipped generators, and fuel cells are some examples of devices that generate direct current. Nowadays, most applications use a time-varying voltage source. Alternating current is a flow of electric charge that periodically reverses direction. An alternating current is produced by an alternating emf that is generated in a power plant. If...
4.1K
Sources of Law01:26

Sources of Law

1.9K
Laws form the essential rules set by governing authorities to shape and control societal behavior. In nursing, laws guide actions, safeguard patient rights, define nurses' scope of practice, and maintain professional standards. Understanding the legal framework governing nursing involves recognizing four primary sources of law: constitutional, statutory, administrative (regulatory), and common law.
Constitutional law is foundational, deriving from federal and state constitutions, and...
1.9K

You might also read

Related Articles

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

Sort by
Same author

Model-based design and placement analysis for epidural cortical stimulation.

Journal of neural engineering·2026
Same author

Sacral Neuromodulation for Refractory Overactive Bladder: Closing the Gaps in Anatomy, Mechanisms, and Parameter Selection.

Advances in therapy·2026
Same author

Histologically Informed Multiscale Modeling of the Neuronal Elements Activated by TMS.

bioRxiv : the preprint server for biology·2026
Same author

Dual-frequency spinal cord stimulation increases responder rates for treatment of neuropathic pain.

Pain·2026
Same author

A Roadmap to Navigate the Future of Neural Engineering.

Journal of neural engineering·2026
Same author

Addendum: Modified cable equation incorporating transverse polarization of neuronal membranes for accurate coupling of electric fields (<i>J. Neural Eng</i>.<b>15</b>026003).

Journal of neural engineering·2026

Related Experiment Video

Updated: Feb 8, 2026

Transcranial Direct Current Stimulation for Online Gamers
06:01

Transcranial Direct Current Stimulation for Online Gamers

Published on: November 9, 2019

8.6K

Modeling Current Sources for Neural Stimulation in COMSOL.

Nicole A Pelot1, Brandon J Thio1, Warren M Grill1,2,3,4

  • 1Department of Biomedical Engineering, Duke University Durham, NC, United States.

Frontiers in Computational Neuroscience
|June 26, 2018
PubMed
Summary
This summary is machine-generated.

Accurate computational modeling of neural stimulation electrodes is crucial for device design. This study recommends specific boundary conditions and current source implementations in finite element method software for precise activation threshold calculations.

Keywords:
boundary conditionscomputational modelingfinite element methodneural engineeringneuromodulation

More Related Videos

The Combination of Transcranial Alternating Current Stimulation and Electroencephalogram
06:14

The Combination of Transcranial Alternating Current Stimulation and Electroencephalogram

Published on: October 10, 2025

537
Transcranial Direct Current Stimulation tDCS in Mice
11:54

Transcranial Direct Current Stimulation tDCS in Mice

Published on: September 23, 2018

15.2K

Related Experiment Videos

Last Updated: Feb 8, 2026

Transcranial Direct Current Stimulation for Online Gamers
06:01

Transcranial Direct Current Stimulation for Online Gamers

Published on: November 9, 2019

8.6K
The Combination of Transcranial Alternating Current Stimulation and Electroencephalogram
06:14

The Combination of Transcranial Alternating Current Stimulation and Electroencephalogram

Published on: October 10, 2025

537
Transcranial Direct Current Stimulation tDCS in Mice
11:54

Transcranial Direct Current Stimulation tDCS in Mice

Published on: September 23, 2018

15.2K

Area of Science:

  • Computational neuroscience
  • Biomedical engineering
  • Medical device design

Background:

  • Computational modeling is vital for designing and analyzing neural stimulation devices.
  • Finite element method (FEM) software simplifies potential distribution calculations but lacks clear guidance on electrode boundary conditions.
  • Accurate electrode representation is essential for reliable modeling of neural stimulation.

Purpose of the Study:

  • To quantify the impact of different electrode representations on axonal activation thresholds.
  • To provide recommendations for accurate and efficient modeling of neural stimulating electrodes.
  • To validate modeling approaches in simplified and realistic neural stimulation scenarios.

Main Methods:

  • Quantified effects of various current source representations in COMSOL Multiphysics for different electrode configurations (monopolar, bipolar, multipolar).
  • Evaluated modeling strategies including thin platinum domains, silicone substrate conductivity, point/boundary current sources, and alternative conductivity assignments.
  • Utilized superposition for multipolar electrode modeling by solving for individual contacts and combining potentials.

Main Results:

  • Recommended modeling electrode contacts as thin platinum domains with silicone substrates, using point or boundary current sources.
  • Proposed an alternative method assigning platinum conductivity to the substrate with insulating boundaries to avoid numerical instabilities and mesh issues.
  • Demonstrated comparable activation threshold errors across different implementations in simplified and realistic models (rat SCS, human DBS).

Conclusions:

  • The study provides validated recommendations for accurately modeling neural stimulating electrodes using FEM.
  • The findings are applicable to various stimulation targets, including spinal cord and deep brain stimulation.
  • Implementing these recommendations enhances the precision and efficiency of neural stimulation device modeling.