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Calculations of Electric Potential II01:27

Calculations of Electric Potential II

An electric dipole is a system of two equal but opposite charges, separated by a fixed distance. This system is used to model many real-world systems, including atomic and molecular interactions. One of these systems is the water molecule, but only under certain circumstances. These circumstances are met inside a microwave oven, where electric fields with alternating directions make the water molecules change orientation. This vibration is equivalent to heat at the molecular level.
Consider a...
Induced Electric Dipoles01:28

Induced Electric Dipoles

A permanent electric dipole orients itself along an external electric field. This rotation can be quantified by defining the potential energy because the external torque does work in rotating it. Then, the potential energy is minimum at the parallel configuration and maximum at the antiparallel configuration. While the former is a stable equilibrium, the latter is an unstable equilibrium.
Since the absolute value of potential energy holds no physical meaning, its zero value can be chosen as per...
Electric Dipoles and Dipole Moment01:30

Electric Dipoles and Dipole Moment

Consider two charges of equal magnitude but opposite signs. If they cannot be separated by an external electric field, the system is called a permanent dipole. For example, the water molecule is a dipole, making it a good solvent.
Theoretically, studying electric dipoles leads to understanding why the resultant electric forces around us are weak. Since electric forces are strong, remnant net charges are rare. Hence, the interaction between dipoles helps us understand electrical interactions in...
Electric Field of Two Equal and Opposite Charges01:30

Electric Field of Two Equal and Opposite Charges

Atoms generally contain the same number of positively and negatively charged particles, protons, and electrons. Hence, they are electrically neutral. However, the centers of the positive and negative charges do not always coincide. In such a scenario, the electric field of an atom may not be zero.
A separation of the positive and negative charges can lead to a weak, remnant effect of the positive and negative charges. The expectation is that the more the distance between the positive and...
Atomic Nuclei: Nuclear Relaxation Processes01:23

Atomic Nuclei: Nuclear Relaxation Processes

In the absence of an external magnetic field, nuclear spin states are degenerate and randomly oriented. When a magnetic field is applied, the spins begin to precess and orient themselves along (lower energy) or against (higher energy) the direction of the field. At equilibrium, a slight excess population of spins exists in the lower energy state. Because the direction of the magnetic field is fixed as the z-axis,  the precessing magnetic moments are randomly oriented around the z-axis. This...
NMR Spectrometers: Resolution and Error Correction01:14

NMR Spectrometers: Resolution and Error Correction

When magnetic nuclei in a sample achieve resonance and undergo relaxation, the signal detected in NMR is an approximately exponential free induction decay. Fourier transform of an exponential decay yields a Lorentzian peak in the frequency domain. Lorentzian peaks in an NMR spectrum are defined by their amplitude, full width at half maximum, and position, where the peak width is governed by the spin-spin relaxation time alone. In real experiments, however, the applied magnetic field is rendered...

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Related Experiment Video

Updated: Jun 22, 2026

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

The neuroelectromagnetic inverse problem and the zero dipole localization error.

Rolando Grave de Peralta1, Olaf Hauk, Sara L Gonzalez

  • 1Electrical Neuroimaging Group, Neurology Department, Geneva University Hospital, 24 Rue Micheli du Crest, 1211 Geneva 14, Switzerland.

Computational Intelligence and Neuroscience
|June 27, 2009
PubMed
Summary
This summary is machine-generated.

Solving the neuroelectromagnetic inverse problem (NIP) requires constraints. Perfect single-source localization does not guarantee accuracy for multiple sources, highlighting the need for a priori information in EEG/MEG analysis.

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A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
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A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

Related Experiment Videos

Last Updated: Jun 22, 2026

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example
08:45

Mapping Cortical Dynamics Using Simultaneous MEG/EEG and Anatomically-constrained Minimum-norm Estimates: an Auditory Attention Example

Published on: October 24, 2012

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants
11:14

A Novel Experimental and Analytical Approach to the Multimodal Neural Decoding of Intent During Social Interaction in Freely-behaving Human Infants

Published on: October 4, 2015

Area of Science:

  • Neuroscience
  • Biophysics
  • Signal Processing

Background:

  • Solving the neuroelectromagnetic inverse problem (NIP) is crucial for EEG/MEG source tomography.
  • The NIP is ill-posed, lacking a unique solution and necessitating additional constraints.
  • Researchers face challenges in selecting appropriate inverse solutions due to competing claims of optimal performance.

Purpose of the Study:

  • To critically evaluate inverse solutions for the NIP, particularly regarding their performance with single versus multiple neural sources.
  • To demonstrate how seemingly optimal single-source localization can lead to inaccurate reconstructions of multiple, simultaneously active sources.
  • To guide researchers in choosing more reliable methods for EEG/MEG source localization.

Main Methods:

  • Introduction of an inverse solution (ANA) designed for perfect single-source localization.
  • Simulation of scenarios with single and multiple simultaneously active neural sources using EEG/MEG data.
  • Analysis of the emergence of spurious sources and their impact on the accuracy of source reconstruction.

Main Results:

  • The proposed ANA solution achieves perfect localization for single neural sources.
  • Spurious sources emerge when using ANA with simultaneously active sources, corrupting the reconstruction.
  • Zero localization error for single sources is an insufficient metric for evaluating inverse solution performance with complex neural activity.

Conclusions:

  • Perfect single-source localization is a misleading indicator of an inverse solution's utility for realistic multi-source scenarios.
  • The incorporation of robust, a priori information about neural generators is essential for reliable NIP solutions.
  • Future research should focus on methods that integrate prior knowledge to overcome the inherent limitations of the NIP.