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

Classification of Systems-II01:31

Classification of Systems-II

Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
Feedback control systems01:26

Feedback control systems

Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
Positive and Negative Feedback Loops01:18

Positive and Negative Feedback Loops

Animal organs and organ systems constantly adjust to internal and external changes through a process called homeostasis ("steady state"). Examples of these changes include regulation of the level of glucose or calcium in the blood or internal responses to external temperatures. Homeostasis requires  maintaining an internal dynamic equilibrium:
Open and closed-loop control systems01:17

Open and closed-loop control systems

Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal and...
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

System stability is a fundamental concept in signal processing, often assessed using convolution. For a system to be considered bounded-input bounded-output (BIBO) stable, any bounded input signal must produce a bounded output signal. A bounded input signal is one where the modulus does not exceed a certain constant at any point in time.
To determine the BIBO stability, the convolution integral is utilized when a bounded continuous-time input is applied to a Linear Time-Invariant (LTI) system.
Root Loci for Positive-Feedback Systems01:23

Root Loci for Positive-Feedback Systems

The Hartley oscillator is a positive feedback system that sustains oscillations by feeding the output back to the input in phase, thereby reinforcing the signal. Positive feedback systems can be viewed as negative feedback systems with inverted feedback signals. In these systems, the root locus encompasses all points on the s-plane where the angle of the system transfer function equals 360 degrees.
The construction rules for the root locus in positive feedback systems are similar to those in...

You might also read

Related Articles

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

Sort by
Same author

Localized and delocalized modes on random geometric graphs in one dimension.

Physical review. E·2026
Same author

Stochasticity Leads to Coexistence of Generalists and Specialists in Assembling Mutualistic Communities.

The American naturalist·2022
Same author

Master stability functions for metacommunities with two types of habitats.

Physical review. E·2022
Same author

A closed form for Jacobian reconstruction from time series and its application as an early warning signal in network dynamics.

Proceedings. Mathematical, physical, and engineering sciences·2022
Same author

Nested versus Independent Sampling: Solving the Mystery of Contradictory Species-Area Relationships.

The American naturalist·2021
Same author

The concerted emergence of well-known spatial and temporal ecological patterns in an evolutionary food web model in space.

Scientific reports·2021
Same journal

What is active wetting?

The European physical journal. E, Soft matter·2026
Same journal

Metallic microresonator spectral modes with inhomogeneously twisted nematic in magnetic field.

The European physical journal. E, Soft matter·2026
Same journal

Perspective on the paper: GDR MiDi. On dense granular flows.

The European physical journal. E, Soft matter·2026
Same journal

Dynamics of a three-dimensional oil drop driven by a surface acoustic wave over topography.

The European physical journal. E, Soft matter·2026
Same journal

Resolvability parameters in molecular graphs of antimalarial drugs.

The European physical journal. E, Soft matter·2026
Same journal

Inertial forces and elastohydrodynamic interaction of spherical particles in wall-bounded sedimentation experiments at low <math><msub><mi>Re</mi> <mtext>P</mtext></msub></math>.

The European physical journal. E, Soft matter·2026
See all related articles

Related Experiment Video

Updated: May 17, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

Boolean versus continuous dynamics in modules with two feedback loops.

Eva Ackermann1, Eva Marie Weiel, Torsten Pfaff

  • 1Institut für Festkörperphysik, TU Darmstadt, Hochschulstraße 6, 64289, Darmstadt, Germany. evachr@fkp.tu-darmstadt.de

The European Physical Journal. E, Soft Matter
|October 26, 2012
PubMed
Summary
This summary is machine-generated.

This study compares continuous and Boolean models of gene networks. We identified conditions for stable oscillations or fixed points based on regulatory interactions and network logic.

More Related Videos

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

Related Experiment Videos

Last Updated: May 17, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
11:54

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface

Published on: May 8, 2021

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator
06:04

Experimental Investigation of the Hierarchical Control in DC Microgrids Using a Real-time Simulator

Published on: February 14, 2025

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces
10:51

An Experimental Platform to Study the Closed-loop Performance of Brain-machine Interfaces

Published on: March 10, 2011

Area of Science:

  • Systems Biology
  • Computational Biology
  • Molecular Systems

Background:

  • Understanding gene regulatory network (GRN) dynamics is crucial for systems biology.
  • Comparing continuous and Boolean models reveals different aspects of GRN behavior.
  • Simple network motifs, like feedback loops, are fundamental building blocks of complex GRNs.

Purpose of the Study:

  • To investigate and compare the dynamical behaviors of simple gene networks using both continuous and Boolean modeling approaches.
  • To establish general conditions for the emergence of stable oscillations or fixed points in these networks.
  • To identify criteria for the agreement and disagreement between continuous and Boolean dynamics.

Main Methods:

  • Development of a generalized framework to analyze different continuous models and regulatory functions.
  • Comparison of continuous dynamics (mRNA and protein concentrations) with a Boolean model (gene activity).
  • Analysis of network properties such as cooperativity and logical structure of regulatory interactions.

Main Results:

  • Conditions for stable oscillations or fixed points were established, depending on network features like cooperativity and logical structure.
  • The study highlights that agreement between Boolean and continuous models is not straightforward.
  • Several criteria were identified to predict when the two modeling approaches yield similar outcomes.

Conclusions:

  • The dynamical behavior of simple gene networks can be characterized by general features of their regulatory interactions.
  • The choice of modeling approach (continuous vs. Boolean) significantly impacts the predicted network dynamics.
  • Further criteria are needed to reconcile the predictions of different modeling formalisms for gene regulatory networks.