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 about an Equilibrium Position01:04

Oscillations about an Equilibrium Position

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 because...
Circadian Rhythms and Gene Regulation02:19

Circadian Rhythms and Gene Regulation

The biological clock is involved in many aspects of regulating complex physiology in all animals. It was in 1935 when German zoologists, Hans Kalmus and Erwin Bünning, discovered the existence of circadian rhythm in Drosophila melanogaster. However, the internal molecular mechanisms behind the circadian clock remained a mystery until 1984, when Jeffrey C. Hall, Michael Rosbash, and Michael W. Young discovered the expression of the Per gene oscillating over a 24-hour cycle. In subsequent years,...
Circadian Rhythms and Gene Regulation02:19

Circadian Rhythms and Gene Regulation

The biological clock is involved in many aspects of regulating complex physiology in all animals. It was in 1935 when German zoologists, Hans Kalmus and Erwin Bünning, discovered the existence of circadian rhythm in Drosophila melanogaster. However, the internal molecular mechanisms behind the circadian clock remained a mystery until 1984, when Jeffrey C. Hall, Michael Rosbash, and Michael W. Young discovered the expression of the Per gene oscillating over a 24-hour cycle. In subsequent years,...
Oscillations In An LC Circuit01:30

Oscillations In An LC Circuit

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
Damped Oscillations01:07

Damped Oscillations

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...
The Cell Cycle Control System01:28

The Cell Cycle Control System

The cell cycle regulation directs how a cell proceeds from one phase to the next and begins mitosis. The cell cycle control system includes intracellular regulatory molecules and external triggers. They provide "stop" or "advance" signals and operate at specific cell cycle stages termed checkpoints to ensure that a particular process is completed before the cell advances to the next phase.
Cyclins and cyclin-dependent kinases (Cdks) are the primary cell cycle regulators and function at the cell...

You might also read

Related Articles

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

Sort by
Same author

Using covariance of node states to design early warning signals for network dynamics.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2026
Same author

Energy landscape analysis based on the Ising model: Tutorial review.

PLOS complex systems·2026
Same author

Temporality modulates the effect of network heterogeneity on cooperation fixation.

Nature communications·2026
Same author

Detecting and forecasting tipping points from sample variance alone.

PNAS nexus·2026
Same author

Phase reduction of reaction-diffusion systems with delay.

Chaos (Woodbury, N.Y.)·2026
Same author

Genomes from 117 vertebrate species reveal rapidly evolving segmental-duplication landscapes.

Genome biology and evolution·2026

Related Experiment Video

Updated: May 26, 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

Structure of cell networks critically determines oscillation regularity.

Hiroshi Kori1, Yoji Kawamura, Naoki Masuda

  • 1Division of Advanced Sciences, Ochadai Academic Production, Ochanomizu University, Tokyo 112-8610, Japan. kori.hiroshi@ocha.ac.jp

Journal of Theoretical Biology
|December 22, 2011
PubMed
Summary

Biological rhythms gain precision through synchronized cell networks. This study introduces a general framework to understand how network size and connectivity impact this collective enhancement of temporal precision.

More Related Videos

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

Reconstitution of Cell-cycle Oscillations in Microemulsions of Cell-free Xenopus Egg Extracts
06:31

Reconstitution of Cell-cycle Oscillations in Microemulsions of Cell-free Xenopus Egg Extracts

Published on: September 27, 2018

Related Experiment Videos

Last Updated: May 26, 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

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons
07:59

Alignment of Synchronized Time-Series Data Using the Characterizing Loss of Cell Cycle Synchrony Model for Cross-Experiment Comparisons

Published on: June 9, 2023

Reconstitution of Cell-cycle Oscillations in Microemulsions of Cell-free Xenopus Egg Extracts
06:31

Reconstitution of Cell-cycle Oscillations in Microemulsions of Cell-free Xenopus Egg Extracts

Published on: September 27, 2018

Area of Science:

  • * Biophysics
  • * Theoretical Biology
  • * Network Science

Background:

  • * Biological rhythms, like circadian rhythms, originate from pacemaker organs composed of interconnected, autonomously oscillating cells.
  • * These rhythms exhibit remarkable periodicity despite cellular noise, a phenomenon enhanced by oscillator synchronization.
  • * Previous theoretical studies on collective enhancement of temporal precision relied on specific assumptions.

Purpose of the Study:

  • * To develop a general theoretical framework for understanding temporal precision in biological oscillator networks.
  • * To elucidate the dependence of temporal precision on network parameters such as size, connectivity, and coupling intensity.
  • * To investigate the relationship between temporal precision and synchrony in biological systems.

Main Methods:

  • * Development of a general theoretical framework based on a phase oscillator model.
  • * Applicability to general oscillator networks with arbitrary coupling mechanisms under weak coupling and noise conditions.
  • * Quantification of temporal precision for individual cells and arbitrary subsets of cells.

Main Results:

  • * In undirected networks, cycle-to-cycle period precision scales as 1/N with system size (N) up to a parameter-dependent threshold N(⁎).
  • * Temporal precision enhancement becomes ineffective for N > N(⁎).
  • * Temporal precision and synchrony are shown to be independent dynamical properties, with long-range interactions favoring precision.

Conclusions:

  • * The proposed framework provides a general understanding of how network structure influences the temporal precision of biological rhythms.
  • * Network size, connectivity, and coupling intensity are critical determinants of collective enhancement of temporal precision.
  • * The findings highlight the potential for optimizing biological rhythm regularity through network design, independent of synchrony levels.