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

Concept of Resonance and its Characteristics01:19

Concept of Resonance and its Characteristics

If a driven oscillator needs to resonate at a specific frequency, then very light damping is required. An example of light damping includes playing piano strings and many other musical instruments. Conversely, to achieve small-amplitude oscillations as in a car's suspension system, heavy damping is required. Heavy damping reduces the amplitude, but the tradeoff is that the system responds at more frequencies. Speed bumps and gravel roads prove that even a car's suspension system is not immune...
Sound Waves: Resonance01:14

Sound Waves: Resonance

Resonance is produced depending on the boundary conditions imposed on a wave. Resonance can be produced in a string under tension with symmetrical boundary conditions (i.e., has a node at each end). A node is defined as a fixed point where the string does not move. The symmetrical boundary conditions result in some frequencies resonating and producing standing waves, while other frequencies interfere destructively. Sound waves can resonate in a hollow tube, and the frequencies of the sound...
Double Resonance Techniques: Overview01:12

Double Resonance Techniques: Overview

Double resonance techniques in Nuclear Magnetic Resonance (NMR) spectroscopy involve the simultaneous application of two different frequencies or radiofrequency pulses to manipulate and observe two distinct nuclear spins. One important application of double resonance is spin decoupling, which selectively suppresses coupling with one type of nucleus while observing the NMR signal from another nucleus, simplifying the spectrum and enhancing resolution.
Spin decoupling is usually achieved by...
Types of Responses of Series RLC Circuits01:11

Types of Responses of Series RLC Circuits

A second-order differential equation characterizes a source-free series RLC circuit, marking its distinct mathematical representation. The complete solution of this equation is a blend of two unique solutions, each linked to the circuit's roots expressed in terms of the damping factor and resonant frequency.
Resonance02:52

Resonance

The Lewis structure of a nitrite anion (NO2−) may actually be drawn in two different ways, distinguished by the locations of the N-O and N=O bonds.
Resonance in an AC Circuit01:26

Resonance in an AC Circuit

The property of an inductor makes it resist any change in the current passing through it, while the property of a capacitor is to build up the charge across its terminals. Hence, if an inductor and capacitor are connected in series, they have opposite effects on the relative phase between current and voltage. The current through the circuit undergoes forced oscillation at the frequency of the source. The resistance term in an R-L-C circuit acts as a damping term because power is dissipated...

You might also read

Related Articles

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

Sort by
Same author

Non-monotonic magnetic friction from collective rotor dynamics.

Nature materials·2026
Same author

Tunable colloidal swarmalators with hydrodynamic coupling.

Nature communications·2025
Same author

Energy recuperation of driven colloids in non-Markovian baths.

Nature communications·2025
Same author

Negative Drag Force on Beating Flagellar-Shaped Bodies in Active Fluids.

Physical review letters·2025
Same author

Optimal transitions between nonequilibrium steady states.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Numerical Generation of Trajectories Statistically Consistent with Stochastic Differential Equations.

Entropy (Basel, Switzerland)·2025
Same journal

Interplay of Anisotropy, Dzyaloshinskii Moriya Interaction and Symmetry breaking Fields in a 2D XY Ferromagnet.

Journal of physics. Condensed matter : an Institute of Physics journal·2026
Same journal

Single-molecule electron transport near a charge-trapping orbital-level alignment.

Journal of physics. Condensed matter : an Institute of Physics journal·2026
Same journal

Δ<sub>T</sub>Noise as a Robust Diagnostic for Chiral, Helical and Trivial Edge Modes.

Journal of physics. Condensed matter : an Institute of Physics journal·2026
Same journal

A Quantum Framework for Negative Magnetoresistance in Multi-Weyl Semimetals.

Journal of physics. Condensed matter : an Institute of Physics journal·2026
Same journal

Magnetic anisotropy and electronic structure in surface-supported single rare-earth atom magnets: a topical review.

Journal of physics. Condensed matter : an Institute of Physics journal·2026
Same journal

Modeling thermal transport in AlN/GaN superlattices and heterostructures with machine-learned force fields.

Journal of physics. Condensed matter : an Institute of Physics journal·2026
See all related articles

Related Experiment Video

Updated: May 31, 2026

Stimulated Stokes and Antistokes Raman Scattering in Microspherical Whispering Gallery Mode Resonators
12:21

Stimulated Stokes and Antistokes Raman Scattering in Microspherical Whispering Gallery Mode Resonators

Published on: April 4, 2016

Quantifying stochastic resonance: theory versus experiment.

Mykhaylo Evstigneev1, Peter Reimann, Carmen Schmitt

  • 1Theoretische Physik, Universität Bielefeld, Universitätsstraße 25, 33615 Bielefeld, Germany.

Journal of Physics. Condensed Matter : an Institute of Physics Journal
|June 22, 2011
PubMed
Summary
This summary is machine-generated.

We explored different measures of stochastic resonance (SR), finding good experimental agreement between hysteresis loop area and residence time distributions for colloidal particles. A simple model explains these findings.

More Related Videos

Stochastic Noise Application for the Assessment of Medial Vestibular Nucleus Neuron Sensitivity In Vitro
06:22

Stochastic Noise Application for the Assessment of Medial Vestibular Nucleus Neuron Sensitivity In Vitro

Published on: August 28, 2019

Related Experiment Videos

Last Updated: May 31, 2026

Stimulated Stokes and Antistokes Raman Scattering in Microspherical Whispering Gallery Mode Resonators
12:21

Stimulated Stokes and Antistokes Raman Scattering in Microspherical Whispering Gallery Mode Resonators

Published on: April 4, 2016

Stochastic Noise Application for the Assessment of Medial Vestibular Nucleus Neuron Sensitivity In Vitro
06:22

Stochastic Noise Application for the Assessment of Medial Vestibular Nucleus Neuron Sensitivity In Vitro

Published on: August 28, 2019

Area of Science:

  • Physics
  • Nonlinear Dynamics
  • Complex Systems

Background:

  • Stochastic resonance (SR) is a phenomenon where a small amount of noise enhances the detection of weak signals in nonlinear systems.
  • Quantifying SR is crucial for understanding its underlying mechanisms and applications.
  • Different mathematical approaches exist to quantify SR, but their interrelations are not always clear.

Purpose of the Study:

  • To investigate the mathematical relationships between different quantifiers of stochastic resonance.
  • To experimentally validate these quantifiers using colloidal particles in modulated laser traps.
  • To develop a theoretical model that explains the observed experimental results.

Main Methods:

  • Analysis of hysteresis loop areas as a measure of bona fide SR.
  • Examination of the first peaks in residence time distributions as another SR quantifier.
  • Experimental implementation using colloidal particles subjected to periodically modulated laser traps.
  • Development of a simple theoretical model to interpret experimental data.

Main Results:

  • Demonstrated a surprisingly good agreement between the hysteresis loop area and residence time distribution peak quantifiers for SR.
  • Experimental observations of SR in colloidal systems were accurately reproduced by the theoretical model.
  • The study provides insights into the consistency of different SR quantification methods.

Conclusions:

  • The hysteresis loop area and residence time distribution peak are reliable and consistent quantifiers of bona fide stochastic resonance.
  • A simple theoretical model can effectively capture the behavior of SR in periodically driven colloidal systems.
  • This work contributes to a better understanding and quantification of stochastic resonance in physical systems.