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

Neuronal Communication01:28

Neuronal Communication

5.4K
Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
5.4K
Interactions Between Signaling Pathways01:19

Interactions Between Signaling Pathways

8.0K
Signaling cascades usually lack linearity. Multiple pathways interact and regulate one another, allowing cells to integrate and respond to diverse environmental stimuli.
Convergence and divergence, and cross-talk between signaling pathways
Two distinct signaling pathways can converge on a single functional unit, which may either be a single protein or a complex of proteins. The response is either functionally distinct or synergistic between the two pathways but different from the response...
8.0K
BIBO stability of continuous and discrete -time systems01:24

BIBO stability of continuous and discrete -time systems

1.1K
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....
1.1K
Contact-dependent Signaling01:19

Contact-dependent Signaling

48.9K
Contact-dependent signaling, as the name suggests, requires that communicating cells be in direct contact with each other. This is achieved either through receptor-ligand interactions or by specialized cytoplasmic channels that allow the flow of small molecules between cells. In animal cells, channels called gap junctions facilitate contact-dependent signaling in certain tissues, whereas, plasmodesmata perform a similar function in plants.
Gap Junctions
In animal cells, gap junctions are formed...
48.9K
Linear time-invariant Systems01:23

Linear time-invariant Systems

1.1K
A system is linear if it displays the characteristics of homogeneity and additivity, together termed the superposition property. This principle is fundamental in all linear systems. Linear time-invariant (LTI) systems include systems with linear elements and constant parameters.
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...
1.1K
Cyclic Processes And Isolated Systems01:19

Cyclic Processes And Isolated Systems

3.6K
A thermodynamic system with zero heat exchange and work is an isolated system. For these systems, the internal energy remains constant.
In the case of a non-isolated system, the change in the internal energy is zero only if the process is cyclic. A thermodynamic process is considered cyclic if the system undergoes a series of changes and returns to its initial state. 
Consider a cyclic process that returns to its initial state, undergoing a four-step process. The heat transfer along each...
3.6K

You might also read

Related Articles

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

Sort by
Same author

Sex-specific associations of sedentary behaviour and physical activity with placental and fetal IL-6 in pregnant women with obesity. Impact on neonatal adiposity in the DALI randomised controlled trial.

Diabetes research and clinical practice·2026
Same author

Pancreatic Cancer and Diabetes: Insights, Hypotheses, and Next Steps.

International journal of molecular sciences·2025
Same author

Gene Dysregulation and Islet Changes in PDAC-Associated Type 3c Diabetes.

International journal of molecular sciences·2025
Same author

Editorial: Pre-natal and post-natal environmental impacts on metabolic control.

Frontiers in endocrinology·2025
Same author

Bi-Hormonal Endocrine Cell Presence Within the Islets of Langerhans of the Human Pancreas Throughout Life.

Cells·2025
Same author

Alpha- to Beta-Cell Transdifferentiation in Neonatal Compared with Adult Mouse Pancreas in Response to a Modest Reduction in Beta-Cells Using Streptozotocin.

International journal of molecular sciences·2024
Same journal

A boundary-regularization-enhanced video anomaly detection network based on context-adaptive spatio-temporal conditional diffusion.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

MT<sup>2</sup>-CSD and LLM-CRAN: A new dataset and an LLM-based multi-semantic knowledge fusion model for conversational stance detection.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

TriAlignNet: A triple-path cross-modality alignment framework for multimodal time series forecasting.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Anchor-based disentanglement framework for incremental multi-view clustering.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

Complex-valued amplitude-phase interference modeling for adversarially robust classification.

Neural networks : the official journal of the International Neural Network Society·2026
Same journal

TraNce: Type-aware hypergraph neural network with biological mediators for drug repositioning.

Neural networks : the official journal of the International Neural Network Society·2026
See all related articles

Related Experiment Video

Updated: Apr 16, 2026

Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model
09:47

Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model

Published on: October 18, 2015

10.5K

Event-triggered asynchronous intermittent communication strategy for synchronization in complex dynamical networks.

Huaqing Li1, Xiaofeng Liao2, Guo Chen3

  • 1School of Electronic and Information Engineering, Southwest University, Chongqing 400715, PR China; School of Electrical and Information Engineering, The University of Sydney, Sydney 2006, Australia.

Neural Networks : the Official Journal of the International Neural Network Society
|March 14, 2015
PubMed
Summary
This summary is machine-generated.

This study introduces an event-triggering strategy to reduce controller updates for complex network synchronization. This method conserves resources in networks with limited embedded microprocessors.

Keywords:
Complex networksDirected spanning treeDistributed controlEvent-triggeringStrongly connected networkSynchronization

More Related Videos

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

7.8K
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

5.3K

Related Experiment Videos

Last Updated: Apr 16, 2026

Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model
09:47

Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model

Published on: October 18, 2015

10.5K
Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms
08:36

Dynamic Inter-subject Functional Connectivity Reveals Moment-to-Moment Brain Network Configurations Driven by Continuous or Communication Paradigms

Published on: March 21, 2019

7.8K
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

5.3K

Area of Science:

  • Control Engineering
  • Network Science
  • Applied Mathematics

Background:

  • Complex networks require efficient synchronization strategies, especially with resource-constrained embedded systems.
  • Continuous communication for synchronization can be resource-intensive and inefficient.

Purpose of the Study:

  • To develop a novel framework for complex network synchronization using event-triggering distributed sampling.
  • To reduce communication and controller update frequency for synchronization tasks.

Main Methods:

  • Event-triggering mechanism design for distributed sampling.
  • Introduction of generalized algebraic connectivity for synchronization analysis.
  • Application of algebraic graph theory, matrix theory, and Lyapunov control methods.
  • Derivation of conditions for global synchronization and a lower bound for inter-event times.

Main Results:

  • A significant decrease in controller updates compared to traditional methods.
  • Sufficient conditions for achieving global synchronization in complex networks.
  • Guaranteed absence of Zeno behavior through a positive lower bound on inter-event times.

Conclusions:

  • The proposed event-triggering framework effectively synchronizes complex networks while minimizing resource usage.
  • The theoretical results are validated by a numerical simulation example, demonstrating practical applicability.