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

Field Procedure for Staking Out Curves01:26

Field Procedure for Staking Out Curves

Staking out curves is an essential process in construction to ensure the accurate alignment of structures along a curved path. This task involves positioning stakes at calculated locations corresponding to the curve's design, effectively translating plans into physical markers in the field. The process begins by determining the geometric parameters of the curve, including the radius, central angle, and tangent distances. These parameters are critical for identifying key points such as the Point...
Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
Equipotential Surfaces and Field Lines01:29

Equipotential Surfaces and Field Lines

Electric potential can be pictorially represented as a three-dimensional surface. On such a surface, the electric potential is constant everywhere. The equipotential surface is always perpendicular to the electric field lines, and while it is three-dimensional, it can be treated as an equipotential line in a two-dimensional case. These equipotential lines are also always perpendicular to electric field lines. The term equipotential is often used as a noun, referring to an equipotential line or...
Divergence and Curl of Electric Field01:25

Divergence and Curl of Electric Field

The divergence of a vector is a measure of how much the vector spreads out (diverges) from a point. For example, an electric field vector diverges from the positive charge and converges at the negative charge. The divergence of an electric field is derived using Gauss's law and is equal to the charge density divided by the permittivity of space. Mathematically, it is expressed as
Electric Field Lines01:25

Electric Field Lines

The three-dimensional representation of the electric field of a positive point charge requires tracing the electric field vectors, whose lengths decrease as the square of their distance from the charge and which point away from the charge at each point. This vector field is no doubt challenging to visualize. The visualization of electric fields becomes quickly intractable as the number of charges increases.
The solution to this problem is to use electric field lines, which are not vectors but...
Electric Field01:16

Electric Field

Consider two point charges, each exerting Coulomb force on the other. It is possible to describe the Coulomb interaction via an intermediate step by defining a new physical quantity called the electric field.
In the new picture, imagine that the first charge sets up an electric field independent of all other charges in the universe. When another charge comes in its vicinity, the second charge experiences an electric force depending on the electric field at that point. The source charge does not...

You might also read

Related Articles

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

Sort by
Same author

Inter-individual alignment of multimodal brain networks with anatomical constraints.

Network neuroscience (Cambridge, Mass.)·2026
Same author

MVICAD<sup>2</sup>: Multi-View Independent Component Analysis With Delays and Dilations.

IEEE transactions on bio-medical engineering·2026
Same author

Alpha power indexes working memory load for durations.

iScience·2026
Same author

Alpha-delta ratio as a robust marker of the impact of cerebral blood flow on EEG signal during general anesthesia.

Anaesthesia, critical care & pain medicine·2025
Same author

Harmonizing and aligning M/EEG datasets with covariance-based techniques to enhance predictive regression modeling.

Imaging neuroscience (Cambridge, Mass.)·2025
Same author

<i>Imaging Neuroscience</i> opening editorial.

Imaging neuroscience (Cambridge, Mass.)·2025
Same journal

RETRACTION: Multidimensional Heterogeneous Network Link Adaptation Based on Mobile Environment.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Framework to Segment and Evaluate Multiple Sclerosis Lesion in MRI Slices Using VGG-UNet.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Facial Emotion Recognition Using a Novel Fusion of Convolutional Neural Network and Local Binary Pattern in Crime Investigation.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Automatic Intelligent System Using Medical of Things for Multiple Sclerosis Detection.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: Intangible Cultural Heritage Reproduction and Revitalization: Value Feedback, Practice, and Exploration Based on the IPA Model.

Computational intelligence and neuroscience·2026
Same journal

RETRACTION: CNN Based Multiclass Brain Tumor Detection Using Medical Imaging.

Computational intelligence and neuroscience·2025
See all related articles

Related Experiment Video

Updated: Jun 3, 2026

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

Forward field computation with OpenMEEG.

Alexandre Gramfort1, Théodore Papadopoulo, Emmanuel Olivi

  • 1Parietal Project Team, INRIA Saclay Ile-de-France, Neurospin-CEA, Gif/Yvette, France. alexandre.gramfort@inria.fr

Computational Intelligence and Neuroscience
|March 26, 2011
PubMed
Summary
This summary is machine-generated.

OpenMEEG is an open-source software that accurately solves the electromagnetic forward problem for electroencephalography (EEG) and magnetoencephalography (MEG) using realistic physiological models.

More Related Videos

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
09:04

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Published on: February 23, 2018

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
09:32

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

Related Experiment Videos

Last Updated: Jun 3, 2026

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

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture
09:04

Lens-free Video Microscopy for the Dynamic and Quantitative Analysis of Adherent Cell Culture

Published on: February 23, 2018

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients
09:32

Network Analysis of Foramen Ovale Electrode Recordings in Drug-resistant Temporal Lobe Epilepsy Patients

Published on: December 18, 2016

Area of Science:

  • Computational neuroscience
  • Biophysics
  • Medical imaging

Background:

  • Accurate source localization for electroencephalography (EEG) and magnetoencephalography (MEG) requires realistic physiological modeling and precise numerical solutions.
  • Existing methods may lack the necessary accuracy or flexibility for complex head models.

Purpose of the Study:

  • To introduce OpenMEEG, a novel computational tool for solving the electromagnetic forward problem.
  • To provide accurate numerical solutions for physiological modeling in EEG and MEG.

Main Methods:

  • Implementation of the symmetric Boundary Element Method based on an extended Green Representation theorem.
  • Development of a quasistatic electromagnetic solver for head models with piecewise constant conductivity.

Main Results:

  • OpenMEEG provides accurate lead fields for electroencephalography (EEG), magnetoencephalography (MEG), Electrical Impedance Tomography (EIT), and intracranial electric potentials (IPs).
  • The software is open-source, multiplatform, and integrates with Python and Matlab, including FieldTrip.

Conclusions:

  • OpenMEEG offers a robust and versatile solution for the electromagnetic forward problem in neuroimaging.
  • Its open-source nature and integration capabilities facilitate its use in advanced inverse problem research.