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

Neural Circuits01:25

Neural Circuits

3.2K
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...
3.2K
Neuron Structure01:31

Neuron Structure

235.8K
Overview
235.8K
Neuron Structure01:30

Neuron Structure

21.1K
Neurons are the main type of cell in the nervous system that generate and transmit electrochemical signals. They primarily communicate with each other using neurotransmitters at specific junctions called synapses. Neurons come in many shapes that often relate to their function, but most share three main structures: an axon and dendrites that extend out from a cell body.
Structure and Function of Neurons
The neuronal cell body—the soma— houses the nucleus and organelles vital to...
21.1K

You might also read

Related Articles

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

Sort by
Same author

Polarity protein MALS3 suppresses breast cancer stem cell-like properties by promoting TAZ inactivation and ubiquitination-dependent degradation.

Cell death & disease·2026
Same author

Treatment of sleep disorders with traditional Chinese medicine: Pharmacological activities and mechanisms.

Phytomedicine : international journal of phytotherapy and phytopharmacology·2026
Same author

ER-phagy orchestrates virus-host interactions across kingdoms.

Trends in microbiology·2026
Same author

Clinical characteristics and IgE-binding protein profiles of patients with buckwheat allergy in China.

The World Allergy Organization journal·2026
Same author

Adaptive classification and grading model of cigar wrapper leaf based on improved ResNet algorithm.

Scientific reports·2026
Same author

Resveratrol offers therapeutic potential in obesity-related osteoarthritis by targeting ferroptosis via G3BP1-SGs/mTOR modulation.

Communications biology·2026

Related Experiment Video

Updated: Mar 22, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.4K

High codimensional bifurcation analysis to a six-neuron BAM neural network.

Yanwei Liu1, Shanshan Li2, Zengrong Liu1

  • 1Department of Mathematics of Shanghai University, Shanghai, 200444 China.

Cognitive Neurodynamics
|April 12, 2016
PubMed
Summary

This study investigates complex bifurcations in a six-neuron BAM neural network with delays. Researchers identified conditions for Bogdanov-Takens singularities and derived normal forms for bifurcations, validated by numerical examples.

Keywords:
Bogdanov–Takens bifurcationNeural networksTriple zero bifurcation

More Related Videos

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

6.1K
Photodiode-Based Optical Imaging for Recording Network Dynamics with Single-Neuron Resolution in Non-Transgenic Invertebrates
10:18

Photodiode-Based Optical Imaging for Recording Network Dynamics with Single-Neuron Resolution in Non-Transgenic Invertebrates

Published on: July 9, 2020

3.4K

Related Experiment Videos

Last Updated: Mar 22, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations
12:27

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

7.4K
Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

6.1K
Photodiode-Based Optical Imaging for Recording Network Dynamics with Single-Neuron Resolution in Non-Transgenic Invertebrates
10:18

Photodiode-Based Optical Imaging for Recording Network Dynamics with Single-Neuron Resolution in Non-Transgenic Invertebrates

Published on: July 9, 2020

3.4K

Area of Science:

  • Neuroscience
  • Dynamical Systems Theory
  • Mathematical Biology

Background:

  • * Bidirectional Associative Memory (BAM) neural networks are crucial for associative memory tasks.
  • * Understanding complex dynamics, including bifurcations, is essential for analyzing neural network behavior.
  • * Multiple delays in neural systems can lead to intricate and unpredictable dynamics.

Purpose of the Study:

  • * To analyze high-codimension bifurcations in a six-neuron BAM neural network system with multiple delays.
  • * To determine the conditions for the origin of the system to exhibit Bogdanov-Takens singularities of multiplicities two and three.
  • * To derive the normal forms for Bogdanov-Takens and triple zero bifurcations.

Main Methods:

  • * Employing singularity theory and normal form theory.
  • * Utilizing the center manifold theorem.
  • * Selecting connection coefficients as bifurcation parameters.
  • * Performing numerical simulations to validate theoretical findings.

Main Results:

  • * Established existence conditions for Bogdanov-Takens singularities (multiplicities two and three) in the studied BAM neural network.
  • * Derived the normal forms for Bogdanov-Takens and triple zero bifurcations.
  • * Demonstrated the theoretical results through illustrative numerical examples.

Conclusions:

  • * The study provides a comprehensive analysis of high-codimension bifurcations in a complex neural network model.
  • * The derived normal forms offer insights into the local dynamics and stability of the system near equilibrium points.
  • * Numerical validation confirms the accuracy of the theoretical framework for understanding bifurcations in delayed neural networks.