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

Finding Electric Potential From Electric Field01:13

Finding Electric Potential From Electric Field

5.9K
For a system of charges, it is easy to calculate the system's potential because potential is a scalar quantity. However, in some instances where calculating the electric field is more straightforward than finding the potential, the electric field is used to calculate the system's potential. For a positive charge, the electric field is radially outward, and the potential is positive at any finite distance from the positive charge. In such an electric field, the motion away from the...
5.9K
Determining Electric Field From Electric Potential01:12

Determining Electric Field From Electric Potential

5.1K
The electric field and electric potential are related to each other. If the electric field at various points in the region of interest is known, it can be used to calculate the electric potential difference between any two points. Similarly, if the electric potential is known for various points, then it is possible to calculate the electric field.
In general, regardless of whether the electric field is uniform, it points in the direction of decreasing potential because the force on a positive...
5.1K
Induced Electric Fields: Applications01:27

Induced Electric Fields: Applications

2.8K
An important distinction exists between the electric field induced by a changing magnetic field and the electrostatic field produced by a fixed charge distribution. Specifically, the induced electric field is nonconservative because it does not work in moving a charge over a closed path. In contrast, the electrostatic field is conservative and does no net work over a closed path. Hence, electric potential can be associated with the electrostatic field but not the induced field. The following...
2.8K
Electric Field01:16

Electric Field

13.2K
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...
13.2K
Electric Field of Two Equal and Opposite Charges01:30

Electric Field of Two Equal and Opposite Charges

7.2K
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...
7.2K
Difference from Background: Limit of Detection01:05

Difference from Background: Limit of Detection

8.7K
The limit of detection (LOD) is the smallest amount of analyte that can be distinguished from the background noise. The LOD value corresponds to the concentration at which the analyte signal is three times larger than the standard deviation of the blank signal. Below this value, the analyte signal cannot be differentiated from the background noise. It is calculated by dividing the calibration slope by 3 times the standard deviation of the blank signals.
The LOD indicates the presence or absence...
8.7K

You might also read

Related Articles

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

Sort by
Same author

Reducing complement activation during sleep deprivation yields cognitive improvement by dexmedetomidine.

British journal of anaesthesia·2023
Same author

Dexmedetomidine Improves Anxiety-like Behaviors in Sleep-Deprived Mice by Inhibiting the p38/MSK1/NFκB Pathway and Reducing Inflammation and Oxidative Stress.

Brain sciences·2023
Same author

Erratum: Complete head cerebral sensitivity mapping for diffuse correlation spectroscopy using subject-specific magnetic resonance imaging models: errata.

Biomedical optics express·2023
Same author

Efficacy analysis of empirical bismuth quadruple therapy, high-dose dual therapy, and resistance gene-based triple therapy as a first-line <i>Helicobacter pylori</i> eradication regimen - An open-label, randomized trial.

Open medicine (Warsaw, Poland)·2023
Same author

Pulmonary interleukin 1 beta/serum amyloid A3 axis promotes lung metastasis of hepatocellular carcinoma by facilitating the pre-metastatic niche formation.

Journal of experimental & clinical cancer research : CR·2023
Same author

Legionella pneumonia complicated with rhabdomyolysis and acute kidney injury diagnosed by metagenomic next-generation sequencing: a case report.

World journal of emergency medicine·2023
Same journal

Olfactory Perception and Neural Rhythms: A Simulation-Based EEG Analysis Using Power Spectral Density FeaturesOlfactory perception and neural rhythms: a simulation-based eeg analysis using power spectral density features.

Cognitive neurodynamics·2026
Same journal

An event-related potentials account of brain predictive coding.

Cognitive neurodynamics·2026
Same journal

A recurrent neural network model for a decision-making task based on sequential evidence accumulation.

Cognitive neurodynamics·2026
Same journal

Synaptic neurotransmitter concentration modulation during learning in bio-inspired spiking neural network.

Cognitive neurodynamics·2026
Same journal

A two-neuron HETUF-memristive hopfield neural network and its application in image encryption.

Cognitive neurodynamics·2026
Same journal

MEK-ERK inhibition enhances synaptic input-output coupling and neuronal excitability in the rat dentate gyrus: association with site-specific Kv4.2 phosphorylation.

Cognitive neurodynamics·2026
See all related articles

Related Experiment Video

Updated: Mar 7, 2026

External Excitation of Neurons Using Electric and Magnetic Fields in One- and Two-dimensional Cultures
08:32

External Excitation of Neurons Using Electric and Magnetic Fields in One- and Two-dimensional Cultures

Published on: May 7, 2017

14.1K

Weak electric fields detectability in a noisy neural network.

Jia Zhao1, Bin Deng2, Yingmei Qin3

  • 1Key Laboratory of Cognition and Personality (Ministry of Education) and School of Psychology, Southwest University, Chongqing, China.

Cognitive Neurodynamics
|February 9, 2017
PubMed
Summary
This summary is machine-generated.

Noise intensity and neural network structure significantly impact weak electric field detection. Stochastic resonance (SR) is observed, highlighting neural coupling

Keywords:
DetectabilityIzhikevich neuron modelStochastic resonanceWeak electric field

More Related Videos

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

6.1K
A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

10.3K

Related Experiment Videos

Last Updated: Mar 7, 2026

External Excitation of Neurons Using Electric and Magnetic Fields in One- and Two-dimensional Cultures
08:32

External Excitation of Neurons Using Electric and Magnetic Fields in One- and Two-dimensional Cultures

Published on: May 7, 2017

14.1K
Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms
08:51

Statistical Modelling of Cortical Connectivity Using Non-invasive Electroencephalograms

Published on: November 1, 2019

6.1K
A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

10.3K

Area of Science:

  • Computational neuroscience
  • Neurodynamics

Background:

  • Neural networks exhibit complex dynamics influenced by noise.
  • Detecting weak external stimuli in biological systems is challenging.

Purpose of the Study:

  • To systematically investigate the detectability of weak electric fields in a noisy Izhikevich neural network.
  • To explore the role of noise intensity and network parameters on signal detection.

Main Methods:

  • Utilized a computational model of a neural network composed of excitatory and inhibitory Izhikevich neurons.
  • Incorporated axonal conduction delays and varied network parameters (connection probability, synaptic strength, population size, heterogeneity).
  • Analyzed the impact of white noise and weak electric fields on neuronal spiking and synchronization.

Main Results:

  • Noise intensity modulates weak electric field detectability, with stochastic resonance (SR) observed.
  • SR phenomenon is significantly diminished when neural connections are removed, indicating amplification through neural coupling.
  • Network parameters, including connection probability, synaptic coupling strength, population size, and neuron heterogeneity, influence signal detectability.
  • An optimal parameter region for detecting weak electric field signals within the neural network model was identified.

Conclusions:

  • Neural network structure and noise are critical for detecting weak electric fields.
  • Neural coupling amplifies weak signals through synchronization, as evidenced by the SR phenomenon.
  • The Izhikevich neural network model demonstrates an optimal operating regime for enhanced weak electric field signal detection.