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

Intrinsically Disordered Proteins02:18

Intrinsically Disordered Proteins

19.6K
Intrinsically disordered proteins are a group of proteins that do not fold into specific three-dimensional structures. Their structural flexibility allows them to complement ordered proteins to perform functions that are inaccessible to rigid structures. They are more common in eukaryotes than prokaryotes and may either be exclusively intrinsically disordered or hybrid proteins, consisting of a mix of ordered and disordered regions. The absence of a rigid structure in these proteins can be...
19.6K
Second Order systems II01:18

Second Order systems II

412
In an underdamped second-order system, where the damping ratio ζ is between 0 and 1, a unit-step input results in a transfer function that, when transformed using the inverse Laplace method, reveals the output response. The output exhibits a damped sinusoidal oscillation, and the difference between the input and output is termed the error signal. This error signal also demonstrates damped oscillatory behavior. Eventually, as the system reaches a steady state, the error diminishes to zero.
412
First Order Systems01:21

First Order Systems

434
First-order systems, such as RC circuits, are foundational in understanding dynamic systems due to their straightforward input-output relationship. Analyzing their responses to different input functions under zero initial conditions reveals significant insights into system behavior.
When a first-order system is subjected to a unit-step input, its response is characterized by its transfer function. By applying the Laplace transform of the unit-step input to the transfer function, expanding the...
434
Second Order systems I01:20

Second Order systems I

616
A servo system exemplifies a second-order system, featuring a proportional controller and load elements that ensure the output position aligns with the input position. The relationship between these components is described by a second-order differential equation. Applying the Laplace transform under zero initial conditions yields the transfer function, showing how inputs are converted to outputs in the system.
By reinterpreting the system, one can derive the closed-loop transfer function, which...
616
Bone Disorders01:29

Bone Disorders

5.5K
Aging and its effect on bone remodeling is the most common cause of bone disorders. In young and healthy people, bone deposition and resorption happen at an equal rate to maintain optimal bone health.
Bone deposition is also affected by the levels of sex hormones like estrogen and testosterone that promote osteoblast activity and bone matrix synthesis. When the level of these hormones decreases due to aging, it causes a reduction in bone deposition. As a result, bone resorption by osteoclasts...
5.5K
Disorders of Erythrocytes01:27

Disorders of Erythrocytes

2.3K
Disorders of erythrocytes, or red blood cells (RBCs), include a range of conditions affecting their number, shape, or function.
Erythrocyte disorders can be broadly categorized into two main types: anemic and polycythemic conditions.
A low oxygen-carrying capacity of the blood due to the loss, lower production, or destruction of erythrocytes is termed anemia. Hemorrhagic anemia, for example, occurs when bleeding from an external wound or internal ulcer reduces erythrocyte counts.
On the other...
2.3K

You might also read

Related Articles

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

Sort by
Same author

Griffiths phase in a three-dimensional Ising model with aperiodic interactions.

Physical review. E·2025
Same author

Devil's staircase inside shrimp-shaped regions reveals periodicity of plateau spikes and bursts.

Chaos (Woodbury, N.Y.)·2025
Same author

Shrimp hubs in the Hindmarsh-Rose model.

Chaos (Woodbury, N.Y.)·2025
Same author

Transient chaos and periodic structures in a model of neuronal early afterdepolarization.

Chaos (Woodbury, N.Y.)·2025
Same author

Optimal income crossover for a two-class model using particle swarm optimization.

Physical review. E·2022
Same author

Griffiths phase and long-range correlations in a biologically motivated visual cortex model.

Scientific reports·2016

Related Experiment Video

Updated: Feb 10, 2026

Multi-electrode Array Recordings of Neuronal Avalanches in Organotypic Cultures
16:01

Multi-electrode Array Recordings of Neuronal Avalanches in Organotypic Cultures

Published on: August 1, 2011

27.0K

Measuring neuronal avalanches in disordered systems with absorbing states.

M Girardi-Schappo1,2, M H R Tragtenberg2

  • 1Neuroimaging of Epilepsy Laboratory, McConnell Brain Imaging Center, McGill University, Montreal Neurological Institute and Hospital, H3A 2B4, Montreal, Quebec, Canada.

Physical Review. E
|May 16, 2018
PubMed
Summary

This study explores avalanche definitions in theoretical models, finding that experimental definitions can reveal power-law behavior outside critical points. This challenges standard theoretical assumptions about critical phenomena.

More Related Videos

Atomic Absorbance Spectroscopy to Measure Intracellular Zinc Pools in Mammalian Cells
13:04

Atomic Absorbance Spectroscopy to Measure Intracellular Zinc Pools in Mammalian Cells

Published on: May 16, 2019

39.3K
Simulation, Fabrication and Characterization of THz Metamaterial Absorbers
13:44

Simulation, Fabrication and Characterization of THz Metamaterial Absorbers

Published on: December 27, 2012

15.9K

Related Experiment Videos

Last Updated: Feb 10, 2026

Multi-electrode Array Recordings of Neuronal Avalanches in Organotypic Cultures
16:01

Multi-electrode Array Recordings of Neuronal Avalanches in Organotypic Cultures

Published on: August 1, 2011

27.0K
Atomic Absorbance Spectroscopy to Measure Intracellular Zinc Pools in Mammalian Cells
13:04

Atomic Absorbance Spectroscopy to Measure Intracellular Zinc Pools in Mammalian Cells

Published on: May 16, 2019

39.3K
Simulation, Fabrication and Characterization of THz Metamaterial Absorbers
13:44

Simulation, Fabrication and Characterization of THz Metamaterial Absorbers

Published on: December 27, 2012

15.9K

Area of Science:

  • Complex systems
  • Computational neuroscience
  • Statistical physics

Background:

  • Power-law distributions characterize avalanche sizes in various systems, including neural networks, often indicating critical behavior.
  • A key ambiguity exists in defining 'avalanches': theoretical models typically define them from stimulus to relaxation, while experimental neuroscience uses activity between silent states.

Purpose of the Study:

  • To investigate the applicability of the experimental avalanche definition to theoretical models.
  • To analyze how different avalanche definitions impact the characterization of critical behavior and power-law distributions.
  • To explore avalanche dynamics in a model with emergent separation of driving and relaxation time scales.

Main Methods:

  • A theoretical model with inherent separation of driving and relaxation time scales was developed.
  • Both the standard theoretical definition and the experimental neuroscience definition of avalanches were applied to the model.
  • Avalanche size distributions were analyzed for power-law scaling and system-size dependence at and outside the critical point.

Main Results:

  • Both avalanche definitions produced power-law-distributed avalanches that scaled with system size at the critical point, as expected.
  • Crucially, the experimental definition revealed restricted power-law avalanche distributions even outside the critical region, a finding not predicted by the standard theoretical definition.
  • The observed phenomena were noted to be dependent on the specific details of the model.

Conclusions:

  • The experimental definition of neuronal avalanches can be extended to theoretical models to characterize power-law behavior and critical dynamics.
  • Applying the experimental definition can uncover hidden power-law avalanche distributions outside the critical region in certain models.
  • These findings highlight the importance of definition choices in analyzing complex systems and suggest model-specific interpretations are necessary.