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

Neuronal Communication01:28

Neuronal Communication

2.1K
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...
2.1K
Propagation of Action Potentials01:23

Propagation of Action Potentials

7.7K
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...
7.7K
Long-term Potentiation01:35

Long-term Potentiation

56.6K
Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
56.6K
Neural Circuits01:25

Neural Circuits

2.0K
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...
2.0K

You might also read

Related Articles

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

Sort by
Same author

Oscillation suppression and chimera states in time-varying networks.

Chaos (Woodbury, N.Y.)·2022
Same author

Oscillation quenching in diffusively coupled dynamical networks with inertial effects.

Chaos (Woodbury, N.Y.)·2022
Same author

The climatic interdependence of extreme-rainfall events around the globe.

Chaos (Woodbury, N.Y.)·2022
Same author

Early warning of noise-induced catastrophic high-amplitude oscillations in an airfoil model.

Chaos (Woodbury, N.Y.)·2022
Same author

Intralayer and interlayer synchronization in multiplex network with higher-order interactions.

Chaos (Woodbury, N.Y.)·2022
Same author

Evolutionary multigame with conformists and profiteers based on dynamic complex networks.

Chaos (Woodbury, N.Y.)·2022
Same journal

Gap junction architecture and synchronization clusters in the thalamic reticular nuclei.

Chaos (Woodbury, N.Y.)·2026
Same journal

Exact computation of Lyapunov exponents via system parameters in multi-triangle chaotic maps: Bifurcation analysis and circuit realization.

Chaos (Woodbury, N.Y.)·2026
Same journal

Integrating score-based generative modeling and neural ODEs for accurate representation of multiscale chaotic dynamics.

Chaos (Woodbury, N.Y.)·2026
Same journal

A data-driven tuberculosis model with behavioral changes and saturated treatment: Optimal control and cost-effectiveness study.

Chaos (Woodbury, N.Y.)·2026
Same journal

Breathers, rational solutions, and their exact physical spectra in F = 1 spinor Bose-Einstein condensates.

Chaos (Woodbury, N.Y.)·2026
Same journal

Finite invariant sets with bridging points in logistic IFS.

Chaos (Woodbury, N.Y.)·2026
See all related articles

Related Experiment Video

Updated: Oct 26, 2025

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
07:33

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

12.0K

Neuronal synchronization in long-range time-varying networks.

Sarbendu Rakshit1, Soumen Majhi1, Jürgen Kurths2

  • 1Physics and Applied Mathematics Unit, Indian Statistical Institute, 203 B. T. Road, Kolkata 700108, India.

Chaos (Woodbury, N.Y.)
|August 3, 2021
PubMed
Summary
This summary is machine-generated.

Neuronal ensembles synchronize faster with rapidly changing long-range connections. This study explores temporal small-world networks and their impact on neuronal synchrony, enhancing our understanding of brain dynamics.

More Related Videos

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
10:45

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Published on: May 29, 2017

10.1K
Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis
05:59

Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis

Published on: October 6, 2023

2.8K

Related Experiment Videos

Last Updated: Oct 26, 2025

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
07:33

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

12.0K
Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays
10:45

Time-dependent Increase in the Network Response to the Stimulation of Neuronal Cell Cultures on Micro-electrode Arrays

Published on: May 29, 2017

10.1K
Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis
05:59

Author Spotlight: Unlocking New Insights in fNIRS Studies - A Novel Framework for Inter-Brain Synchrony Analysis

Published on: October 6, 2023

2.8K

Area of Science:

  • Computational Neuroscience
  • Complex Systems Dynamics
  • Network Science

Background:

  • Neuronal ensembles exhibit complex synchronization patterns.
  • Long-range electrical gap junctions play a crucial role in neuronal communication.
  • Existing models often simplify the dynamic nature of neural connections.

Purpose of the Study:

  • To investigate the impact of time-varying long-range electrical gap junctions on neuronal synchronization.
  • To model realistic temporal small-world networks in neuronal ensembles.
  • To analyze the conditions for achieving complete synchrony in dynamic neural networks.

Main Methods:

  • Utilizing the Hindmarsh-Rose neuron model for simulating neuronal activity.
  • Constructing temporal small-world networks with stochastic rewiring.
  • Employing the master stability function formalism to analyze synchronization stability.

Main Results:

  • Rapidly switching long-range interactions significantly lower the critical interaction strength for neuronal synchrony.
  • Analytical stability conditions derived using the master stability function formalism closely match numerical results.
  • The temporal dynamics of long-range connections are critical for achieving rapid synchronization.

Conclusions:

  • Time-varying long-range interactions in neuronal ensembles facilitate faster synchronization.
  • The developed model provides a more neurologically realistic framework for studying neural synchrony.
  • This research deepens the understanding of dynamic network properties in brain function.