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

Design Example: Strain Gauge Bridge or Wheatstone Bridge01:15

Design Example: Strain Gauge Bridge or Wheatstone Bridge

1.0K
The utilization of strain gauges as transducers for converting mechanical strain into electrical signals is a common practice in various engineering applications. These strain gauges are frequently integrated into Wheatstone bridge circuits to accurately measure parameters such as force or pressure. Within this context, each element within the circuit exhibits a resistance that undergoes subtle variations when subjected to mechanical strain. The primary objective is to convert minuscule...
1.0K
Wheatstone Bridge01:29

Wheatstone Bridge

1.2K
An ohmmeter is a resistance-measuring device. It works by applying a voltage to a resistor of unknown resistance and measuring the current across the resistor. The resistance value is deduced using Ohm's law. Usually, the standard configuration of an ohmmeter comprises a voltmeter or an ammeter. However, such configurations are limited in accuracy because the meters alter the voltage applied to the resistor and the current that flows through it.
Thus, for accurate resistance measurements, a...
1.2K
Bridge rectifier01:24

Bridge rectifier

1.6K
The bridge rectifier is essential in electronics for efficiently converting alternating current (AC) to direct current (DC). Comprised of four diodes configured in a bridge layout, this rectifier effectively processes both the positive and negative halves of the AC waveform, making it superior to half-wave and full-wave center-tapped rectifiers in terms of voltage regulation and output stability.
Operationally, the bridge rectifier allows current flow through two of its diodes during each...
1.6K
Cross-bridge Cycle01:26

Cross-bridge Cycle

122.7K
As muscle contracts, the overlap between the thin and thick filaments increases, decreasing the length of the sarcomere—the contractile unit of the muscle—using energy in the form of ATP. At the molecular level, this is a cyclic, multistep process that involves binding and hydrolysis of ATP, and movement of actin by myosin.
122.7K
pH Scale02:41

pH Scale

79.8K
Hydronium and hydroxide ions are present both in pure water and in all aqueous solutions, and their concentrations are inversely proportional as determined by the ion product of water (Kw). The concentrations of these ions in a solution are often critical determinants of the solution’s properties and the chemical behaviors of its other solutes. Two different solutions can differ in their hydronium or hydroxide ion concentrations by a million, billion, or even trillion times. A common means of...
79.8K
Leveling Effect01:29

Leveling Effect

1.4K
In acid-base chemistry, the leveling effect refers to the limitation imposed by the solvent on the strength of acids and bases in solution. When a base stronger than the solvent's conjugate base is used, it deprotonates the solvent until the base is entirely consumed, making it ineffective against weaker acids. Conversely, an acid stronger than the solvent's conjugate acid protonates the solvent until the acid is depleted, rendering it ineffective against weaker bases. Essentially, the...
1.4K

You might also read

Related Articles

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

Sort by
Same author

Imagined movement modulates cardiac-cortico-cortical and cardiac-cortico-cerebellar oscillatory networks.

NeuroImage·2026
Same author

Feature Interpretability in Motor Imagery Brain Computer Interfaces: A Meta-Analysis Across Connectivity, Spatial Filtering, and Riemannian Methods.

Brain connectivity·2025
Same author

Correction: Low-dimensional controllability of brain networks.

PLoS computational biology·2025
Same author

Economical representation of spatial networks.

PNAS nexus·2025
Same author

Structural network measures reveal the emergence of heavy-tailed degree distributions in lottery ticket multilayer perceptrons.

Neural networks : the official journal of the International Neural Network Society·2025
Same author

Measures and Models of Brain-Heart Interactions.

IEEE reviews in biomedical engineering·2025
Same journal

Cortical similarity networks in the rat brain: Postnatal development and sensitivity to early life stress.

Network neuroscience (Cambridge, Mass.)·2026
Same journal

Increased sensitivity in identifying language-related functional connectivity using jackknife resampling analyses.

Network neuroscience (Cambridge, Mass.)·2026
Same journal

Phase-dependent stimulation response is shaped by the brain's dynamic functional connectivity.

Network neuroscience (Cambridge, Mass.)·2026
Same journal

Restoring oscillatory dynamics in Alzheimer's disease: A laminar whole-brain model of serotonergic psychedelic effects.

Network neuroscience (Cambridge, Mass.)·2026
Same journal

Distributed cortical network dynamics of binocular convergent eye movements in humans.

Network neuroscience (Cambridge, Mass.)·2026
Same journal

High-resolution Bayesian Virtual Epileptic Patient using neural field models.

Network neuroscience (Cambridge, Mass.)·2026
See all related articles

Related Experiment Video

Updated: Feb 4, 2026

The Preparation of Electrohydrodynamic Bridges from Polar Dielectric Liquids
10:03

The Preparation of Electrohydrodynamic Bridges from Polar Dielectric Liquids

Published on: September 30, 2014

27.2K

Editorial: Bridging Scales and Levels.

Emma K Towlson1, Fabrizio De Vico Fallani2

  • 1Center for Complex Network Research, Northeastern University, Boston, MA 02115, USA.

Network Neuroscience (Cambridge, Mass.)
|October 9, 2018
PubMed
Summary
This summary is machine-generated.

Network neuroscience integrates brain networks across scales and observation levels. Future research aims for a holistic brain network perspective by bridging these diverse approaches.

More Related Videos

Fabrication and Visualization of Capillary Bridges in Slit Pore Geometry
11:20

Fabrication and Visualization of Capillary Bridges in Slit Pore Geometry

Published on: January 9, 2014

9.3K
Bridging the Bio-Electronic Interface with Biofabrication
16:38

Bridging the Bio-Electronic Interface with Biofabrication

Published on: June 6, 2012

17.3K

Related Experiment Videos

Last Updated: Feb 4, 2026

The Preparation of Electrohydrodynamic Bridges from Polar Dielectric Liquids
10:03

The Preparation of Electrohydrodynamic Bridges from Polar Dielectric Liquids

Published on: September 30, 2014

27.2K
Fabrication and Visualization of Capillary Bridges in Slit Pore Geometry
11:20

Fabrication and Visualization of Capillary Bridges in Slit Pore Geometry

Published on: January 9, 2014

9.3K
Bridging the Bio-Electronic Interface with Biofabrication
16:38

Bridging the Bio-Electronic Interface with Biofabrication

Published on: June 6, 2012

17.3K

Area of Science:

  • Neuroscience
  • Network Science
  • Computational Biology

Background:

  • Network neuroscience investigates brain networks across spatiotemporal scales.
  • Current research integrates diverse experimental and theoretical methods.
  • A holistic view of brain networks is emerging.

Discussion:

  • Focus feature highlights research bridging different scales and levels of brain network observation.
  • This interdisciplinary approach aims to unify network neuroscience.
  • Understanding brain function requires integrating micro, meso, and macro levels.

Key Insights:

  • Advancements enable a more comprehensive understanding of brain network organization.
  • Integrating multi-scale data is crucial for network neuroscience.
  • The field is moving towards a unified framework for brain network analysis.

Outlook:

  • Future progress depends on continued integration of diverse methodologies.
  • The vision is a holistic understanding of brain networks.
  • Continued research will refine our models of brain function and organization.