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Related Concept Videos

Propagation of Action Potentials01:23

Propagation of Action Potentials

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...
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Deactivation Processes: Jablonski Diagram

Luminescence, the emission of light by a substance that has absorbed energy, is a process that involves the interaction of molecules with light. The energy-level diagram, or Jablonski diagram, is a graphical representation of these interactions, illustrating the various states and transitions a molecule can undergo. In a typical Jablonski diagram, the lowest horizontal line represents the ground-state energy of the molecule, which is usually a singlet state. This state represents the energies...
Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
Distribution and Dispersion00:54

Distribution and Dispersion

To understand intra-specific interactions in populations, scientists measure the spatial arrangement of species individuals. This geographic arrangement is known as the species distribution or dispersion. Highly territorial species exhibit a uniform distribution pattern, in which individuals are spaced at relatively equal distances from one another. Species that are highly tied to particular resources, such as food or shelter, tend to concentrate around those resources, and thus exhibit a...
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Secondary Distribution

Secondary distribution systems provide electrical energy at the utilization voltage levels from distribution transformers to customer meters. Typical secondary voltages in the United States include 120/240 V for residential use, 208Y/120 V for residential and commercial use, and 480Y/277 V for industrial and high-rise commercial use.
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Neuronal Communication

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...

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Related Experiment Video

Updated: May 24, 2026

Examining Local Network Processing using Multi-contact Laminar Electrode Recording
13:40

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Published on: September 8, 2011

Decelerated spreading in degree-correlated networks.

Markus Schläpfer1, Lubos Buzna

  • 1Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA. schlmark@mit.edu

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|March 10, 2012
PubMed
Summary

Network correlations significantly impact spreading speed. Positive correlations slow propagation in scale-free networks, while negative correlations accelerate it, offering new control mechanisms.

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Area of Science:

  • Network Science
  • Complex Systems
  • Statistical Physics

Background:

  • Degree correlations are recognized for their importance in network spreading phenomena.
  • The precise influence of these correlations on propagation speed remains largely unexplored.

Purpose of the Study:

  • To investigate the effect of degree correlations on propagation speed in a tunable spreading model.
  • To understand how positive and negative correlations influence the dynamics of spreading processes on scale-free networks.

Main Methods:

  • Utilized a tunable spreading model on scale-free networks.
  • Employed efficient path analysis to explain observed propagation behaviors.
  • Applied k-core decomposition to assess nodal spreading efficiency based on correlation.

Main Results:

  • Propagation speed is significantly affected by degree correlations.
  • Positively correlated networks exhibit slower propagation due to high-connectivity nodes accelerating spread locally.
  • Negatively correlated networks show slower propagation as high-connectivity nodes decelerate spread locally.

Conclusions:

  • Degree correlations play a critical, tunable role in modulating propagation speed within networks.
  • Efficient path analysis and k-core decomposition provide mechanistic insights into correlation-dependent spreading.
  • Findings offer potential strategies for controlling real-world spreading phenomena.