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

Propagation of Action Potentials01:23

Propagation of Action Potentials

13.3K
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...
13.3K
Neural Circuits01:25

Neural Circuits

3.2K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
3.2K
Cell Signaling Feedback Loops01:07

Cell Signaling Feedback Loops

7.9K
Positive and negative feedback loops are crucial for regulating biological signaling systems. These feedback loops are processes that connect output signals to their inputs.
Negative feedback loops
Most signaling systems have negative feedback loops that can perform different functions such as output limiter, and adaptation.
Output limiter
Upon receiving an input signal, the cellular response rapidly increases until a threshold is reached. Beyond this threshold, a negative feedback loop...
7.9K
Interactions Between Signaling Pathways01:19

Interactions Between Signaling Pathways

7.9K
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...
7.9K
Interference: Path Lengths01:10

Interference: Path Lengths

2.4K
Consider two sources of sound, that may or may not be in phase, emitting waves at a single frequency, and consider the frequencies to be the same.
Two special sources may be considered when they are in phase. This can be easily achieved by feeding the two sources from the same source. An example would be synchronizing the two speakers by feeding them with the same source, such as the sound waves produced by a tuning fork. This setup ensures that the two sources have the same frequency and are...
2.4K
Effects of feedback01:24

Effects of feedback

1.1K
Feedback in control systems plays a critical role in shaping various operational parameters, extending beyond simple error reduction to influence stability, bandwidth, gain, impedance, and sensitivity. Understanding these effects requires examining a basic feedback system characterized by defined input, output, error, and feedback signals.
Feedback significantly modifies the gain of a control system. The gain of a system without feedback is altered by a factor of one plus GH, where G represents...
1.1K

You might also read

Related Articles

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

Sort by
Same author

Light-Powered Atroposelective Ratcheting via Excited-State Donor-Acceptor Interactions.

Chemistry (Weinheim an der Bergstrasse, Germany)·2026
Same author

Covalent pan-TEAD inhibitors block YAP activity and demonstrate brain penetrance in a Hippo-dependent cancer model.

Nature communications·2026
Same author

Evaluating the prognostic significance of lymph node yield in resected pancreatic adenocarcinoma: a population-based study.

World journal of surgical oncology·2026
Same author

Real-world treatment landscape and disease burden of myelofibrosis in Taiwan, South Korea, Japan, and Canada.

Future oncology (London, England)·2026
Same author

Incidence and Risk Factors of Emergence Delirium in Children Undergoing Orthopedic Surgery: A Secondary Analysis of Postanesthesia Care Unit Data.

Journal of perianesthesia nursing : official journal of the American Society of PeriAnesthesia Nurses·2026
Same author

Effects of chicken-liver-hydrolysate paste addition on structure-function relationships in emulsion-type sausages.

Poultry science·2026

Related Experiment Video

Updated: Mar 23, 2026

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

12.1K

Noise propagation with interlinked feed-forward pathways.

Surendhar Reddy Chepyala1,2,3, Yi-Chen Chen2,4, Ching-Cher Sanders Yan2

  • 1Bioinformatics Program, Taiwan International Graduate Program, Institute of Information Science, Academia Sinica, Taipei, Taiwan.

Scientific Reports
|April 1, 2016
PubMed
Summary
This summary is machine-generated.

Multiple interlinked feed-forward loops (FFLs) in biological networks effectively filter noise. This study shows interlinked FFLs can suppress noise in both ON and OFF states, ensuring precise biological timing.

More Related Videos

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
Author Spotlight: Modular Neuronal Networks for Analyzing Brain Functions
07:38

Author Spotlight: Modular Neuronal Networks for Analyzing Brain Functions

Published on: June 7, 2024

2.4K

Related Experiment Videos

Last Updated: Mar 23, 2026

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
08:08

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

Published on: June 24, 2015

12.1K
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
Author Spotlight: Modular Neuronal Networks for Analyzing Brain Functions
07:38

Author Spotlight: Modular Neuronal Networks for Analyzing Brain Functions

Published on: June 7, 2024

2.4K

Area of Science:

  • Systems Biology
  • Developmental Biology
  • Network Motifs

Background:

  • Biological systems utilize functionally similar pathways, often organized as feed-forward controls.
  • Feed-forward loops (FFLs) are known network motifs exhibiting robustness.

Purpose of the Study:

  • To investigate noise propagation in a developmental network with multiple interlinked FFLs.
  • To determine the noise-filtering capabilities of interlinked FFLs in biological systems.

Main Methods:

  • Analysis of noise propagation through a network of interlinked FFLs.
  • Mathematical modeling of noise filtering in FFLs.
  • Demonstration in the Caenorhabditis elegans distal tip cell (DTC) migration network.

Main Results:

  • Interlinked FFLs largely filter propagated noise irrespective of input gene states.
  • Noise filtering in interlinked FFLs can be attributed to individual FFL properties.
  • Interlinked FFLs enable noise filtering in both ON and OFF states of the output gene.

Conclusions:

  • Interlinked FFLs provide robust noise filtering in biological networks.
  • The study provides insights into precise spatio-temporal control mechanisms, exemplified by DTC migration in C. elegans.
  • Network structure analysis can predict noise-filtering properties.