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

Neuroplasticity01:01

Neuroplasticity

Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
Neural Circuits01:25

Neural Circuits

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...
Linear Approximation in Frequency Domain01:26

Linear Approximation in Frequency Domain

Linear systems are characterized by two main properties: superposition and homogeneity. Superposition allows the response to multiple inputs to be the sum of the responses to each individual input. Homogeneity ensures that scaling an input by a scalar results in the response being scaled by the same scalar.
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear.
Protein Diffusion in the Membrane01:24

Protein Diffusion in the Membrane

Proteins show rotational as well as lateral diffusion across the membrane. The lateral diffusion of proteins was confirmed through the cell fusion experiment where mouse and human cells were fused, resulting in hybrid cells. When the human and mouse cells fused, the specific membrane proteins on human and mouse cells were marked with the red and green-fluorescent markers, respectively. Initially, the red and green fluorescence was located on the respective hemisphere of the cell. As time...
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...
Current Growth And Decay In RL Circuits01:30

Current Growth And Decay In RL Circuits

The current growth and decay in RL circuits can be understood by considering a series RL circuit consisting of a resistor, an inductor, a constant source of emf, and two switches. When the first switch is closed, the circuit is equivalent to a single-loop circuit consisting of a resistor and an inductor connected to a source of emf. In this case, the source of emf produces a current in the circuit. If there were no self-inductance in the circuit, the current would rise immediately to a steady...

You might also read

Related Articles

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

Sort by
Same author

Astrocyte-mediated higher-order control of synaptic plasticity.

Communications biology·2026
Same author

The potential of the programmable gaming mouse in diagnostic radiology residency.

Current problems in diagnostic radiology·2026
Same author

A CFIR-guided qualitative study of digital health engagement among Black adults with type 2 diabetes.

NPJ digital medicine·2025
Same author

The role of place types on social relationships and satisfaction as influenced by COVID and disabilities.

Frontiers in rehabilitation sciences·2025
Same author

Combining MicroED and native mass spectrometry for structural discovery of enzyme-small molecule complexes.

Proceedings of the National Academy of Sciences of the United States of America·2025
Same author

Supervised and unsupervised rehabilitation of visual field defect: cohort investigation of eye movement training at a clinical setting and at home.

Experimental brain research·2025
Same journal

Tension on dsDNA bound to ssDNA-RecA filaments may play an important role in driving efficient and accurate homology recognition and strand exchange.

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Amplitude-phase coupling drives chimera states in globally coupled laser networks [Phys. Rev. E 91, 040901(R) (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Shapes of sedimenting soft elastic capsules in a viscous fluid [Phys. Rev. E 92, 033003 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Erratum: Attenuation of excitation decay rate due to collective effect [Phys. Rev. E 90, 022142 (2014)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Role of connectivity and fluctuations in the nucleation of calcium waves in cardiac cells [Phys. Rev. E 92, 052715 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
Same journal

Publisher's Note: Lattice Boltzmann approach for complex nonequilibrium flows [Phys. Rev. E 92, 043308 (2015)].

Physical review. E, Statistical, nonlinear, and soft matter physics·2016
See all related articles

Related Experiment Video

Updated: Jun 22, 2026

Rewiring Neuronal Circuits: A New Method for Fast Neurite Extension and Functional Neuronal Connection
10:26

Rewiring Neuronal Circuits: A New Method for Fast Neurite Extension and Functional Neuronal Connection

Published on: June 13, 2017

Nonlinear preferential rewiring in fixed-size networks as a diffusion process.

Samuel Johnson1, Joaquín J Torres, Joaquín Marro

  • 1Departmento de Electromagnetismo y Física de la Materia, and Instituto Carlos I de Física Teórica y Computacional, Facultad de Ciencias, University of Granada, 18071 Granada, Spain.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|June 13, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a network model with conserved nodes and edges, showing a phase transition to heterogeneous structures when rewiring parameters are equal. The network

Related Experiment Videos

Last Updated: Jun 22, 2026

Rewiring Neuronal Circuits: A New Method for Fast Neurite Extension and Functional Neuronal Connection
10:26

Rewiring Neuronal Circuits: A New Method for Fast Neurite Extension and Functional Neuronal Connection

Published on: June 13, 2017

Area of Science:

  • Complex networks
  • Statistical physics
  • Network dynamics

Background:

  • Understanding the evolution of complex networks is crucial.
  • Conserved network models offer insights into structural stability.
  • Preferential attachment and detachment mechanisms drive network growth and rewiring.

Purpose of the Study:

  • To introduce and analyze a novel evolving network model.
  • To investigate the role of nonlinear preferential detachment and reattachment.
  • To identify phase transitions and emergent structures in the network degree distribution.

Main Methods:

  • Developed an evolving network model with conserved nodes and edges.
  • Employed nonlinear preferential detachment and reattachment rules.
  • Analyzed stationary states using power-law kernels with exponents alpha and beta.
  • Investigated temporal evolution via a nonlinear diffusion equation.

Main Results:

  • A second-order phase transition occurs at alpha=beta, shifting from homogeneous to heterogeneous degree distributions.
  • Starlike structures emerge in the heterogeneous regime.
  • The critical regime's temporal evolution follows a nonlinear diffusion equation.
  • Stationary states exhibit pure or mixed power laws with exponents -alpha and 1-alpha.

Conclusions:

  • The model demonstrates a critical transition in network heterogeneity.
  • Nonlinear rewiring rules can lead to emergent complex network structures.
  • The findings provide a framework for understanding dynamic network evolution in various systems.