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

Oscillations In An LC Circuit01:30

Oscillations In An LC Circuit

3.3K
An idealized LC circuit of zero resistance can oscillate without any source of emf by shifting the energy stored in the circuit between the electric and magnetic fields. In such an LC circuit, if the capacitor contains a charge q before the switch is closed, then all the energy of the circuit is initially stored in the electric field of the capacitor. This energy is given by
3.3K
Damped Oscillations01:07

Damped Oscillations

7.5K
In the real world, oscillations seldom follow true simple harmonic motion. A system that continues its motion indefinitely without losing its amplitude is termed undamped. However, friction of some sort usually dampens the motion, so it fades away or needs more force to continue. For example, a guitar string stops oscillating a few seconds after being plucked. Similarly, one must continually push a swing to keep a child swinging on a playground.
Although friction and other non-conservative...
7.5K
Forced Oscillations01:06

Forced Oscillations

8.2K
When an oscillator is forced with a periodic driving force, the motion may seem chaotic. The motions of such oscillators are known as transients. After the transients die out, the oscillator reaches a steady state, where the motion is periodic, and the displacement is determined.
8.2K
Oscillations about an Equilibrium Position01:04

Oscillations about an Equilibrium Position

7.1K
Stability is an important concept in oscillation. If an equilibrium point is stable, a slight disturbance of an object that is initially at the stable equilibrium point will cause the object to oscillate around that point. For an unstable equilibrium point, if the object is disturbed slightly, it will not return to the equilibrium point. There are three conditions for equilibrium points—stable, unstable, and half-stable. A half-stable equilibrium point is also unstable, but is named so...
7.1K
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

816
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
816
Propagation of Action Potentials01:23

Propagation of Action Potentials

11.9K
The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
11.9K

You might also read

Related Articles

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

Sort by
Same author

Anomaly-Free Symmetries with Obstructions to Gauging and Onsiteability.

Physical review letters·2026
Same author

Biocatalytic cascades enable manufacture of the macrocyclic peptide enlicitide.

Science (New York, N.Y.)·2026
Same author

Integrating theory and machine learning to reveal determinants of plasmid copy number.

Nature communications·2026
Same author

Selection-free whole genome transplantation revives dead microbes.

bioRxiv : the preprint server for biology·2026
Same author

Mapping single-cell responses to population-level dynamics during antibiotic treatment.

Molecular systems biology·2026
Same author

A foundation model for microbial growth dynamics.

bioRxiv : the preprint server for biology·2026
Same journal

Detection, communication, and individual identification with deep audio embeddings: A case study with North Atlantic right whales.

PLoS computational biology·2026
Same journal

Exploring the structural lexicon of the Proteome via Metric Geometry.

PLoS computational biology·2026
Same journal

Linking retinal sampling in neural encoding models to temporal profiles of visual processing in humans.

PLoS computational biology·2026
Same journal

CAdir: Joint clustering of cells and genes for single-cell transcriptomics with visualization-driven cluster quality assessment.

PLoS computational biology·2026
Same journal

Systematic design of auxotrophic strains and media conditions to probe metabolic functions in E. coli.

PLoS computational biology·2026
Same journal

Neuronal excitability and parameter variability in the Hodgkin-Huxley model.

PLoS computational biology·2026
See all related articles

Related Experiment Video

Updated: Mar 15, 2026

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
07:33

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

12.4K

Processing Oscillatory Signals by Incoherent Feedforward Loops.

Carolyn Zhang1, Ryan Tsoi1, Feilun Wu1

  • 1Department of Biomedical Engineering, Duke University, Durham, North Carolina, United States of America.

Plos Computational Biology
|September 14, 2016
PubMed
Summary
This summary is machine-generated.

Biological signaling pathways can distinguish between short pulses and sustained signals using incoherent feedforward loops (IFFLs). This study reveals IFFLs can process oscillatory signals, with network kinetics and parameter matching crucial for accurate signal interpretation.

More Related Videos

Generation of Local CA1 γ Oscillations by Tetanic Stimulation
08:02

Generation of Local CA1 γ Oscillations by Tetanic Stimulation

Published on: August 14, 2015

9.6K
A Microfluidics Approach for the Functional Investigation of Signaling Oscillations Governing Somitogenesis
08:06

A Microfluidics Approach for the Functional Investigation of Signaling Oscillations Governing Somitogenesis

Published on: March 19, 2021

3.3K

Related Experiment Videos

Last Updated: Mar 15, 2026

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
07:33

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

12.4K
Generation of Local CA1 γ Oscillations by Tetanic Stimulation
08:02

Generation of Local CA1 γ Oscillations by Tetanic Stimulation

Published on: August 14, 2015

9.6K
A Microfluidics Approach for the Functional Investigation of Signaling Oscillations Governing Somitogenesis
08:06

A Microfluidics Approach for the Functional Investigation of Signaling Oscillations Governing Somitogenesis

Published on: March 19, 2021

3.3K

Area of Science:

  • Systems biology
  • Molecular and Cellular Biology
  • Biophysics

Background:

  • Biological signaling pathways regulate gene expression by differentiating between pulsatile and sustained signals.
  • Incoherent feedforward loops (IFFLs) are common network motifs that enable temporal adaptation to sustained inputs.

Purpose of the Study:

  • To investigate the capacity of IFFLs to process oscillatory signals using quantitative modeling.
  • To identify the constraints and mechanisms governing IFFL's ability to decode pulsatile biological signals.

Main Methods:

  • Quantitative modeling of biological signaling networks.
  • Analysis of incoherent feedforward loop (IFFL) dynamics.
  • Examination of parameter dependencies for signal processing.

Main Results:

  • IFFLs can process oscillatory signals, but this capability is constrained by network kinetics.
  • Optimal processing of pulsatile signals requires a match between IFFL parameters and signal characteristics.
  • The study elucidates a mechanism for information processing in natural gene circuits.

Conclusions:

  • IFFLs possess the ability to decode pulsatile dynamics, limited by component kinetics and parameter-signal matching.
  • This research provides insights into natural information processing in gene networks.
  • Findings have implications for designing synthetic gene circuits capable of processing oscillatory signals.