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

Linear Approximation in Time Domain01:21

Linear Approximation in Time Domain

338
Nonlinear systems often require sophisticated approaches for accurate modeling and analysis, with state-space representation being particularly effective. This method is especially useful for systems where variables and parameters vary with time or operating conditions, such as in a simple pendulum or a translational mechanical system with nonlinear springs.
For a simple pendulum with a mass evenly distributed along its length and the center of mass located at half the pendulum's length,...
338
Long-term Potentiation01:35

Long-term Potentiation

58.2K
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.
58.2K

You might also read

Related Articles

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

Sort by
Same author

Fluorine Positional Isomerism Enables H-Aggregation for High-Performance Semicrystalline Polymer Donors in Organic Solar Cells.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Low-resistance ohmic contacts for NbGeN<sub>3</sub> enabled by cold metals.

Physical chemistry chemical physics : PCCP·2026
Same author

Identification of G4-regulated immune-related drug targets for prostate cancer based on G4 screen and machine learning.

Frontiers in immunology·2026
Same author

GPNMB<sup>+</sup> macrophages promote osteogenic differentiation of nucleus pulposus cells through PDGF signaling in intervertebral disc degeneration.

Cell reports. Medicine·2026
Same author

Bound polyphenols from carrot dietary fiber delay aging in <i>Caenorhabditis elegans</i> through the IIS pathway and metabolic remodeling.

Food & function·2026
Same author

Synergistic Effect of Gradient Conductivity and Gradient Microstructures Enabled Ultrasensitive and Ultrabroad Linear Flexible Tactile Sensors.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

Related Experiment Video

Updated: Jan 14, 2026

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

10.3K

A fixed- time neurodynamic approach for fused lasso problems.

Kangyuan Zhou1, Bing Zheng1

  • 1School of Mathematics and Statistics, Lanzhou University, Lanzhou, 730000, China.

Neural Networks : the Official Journal of the International Neural Network Society
|October 27, 2025
PubMed
Summary

This study introduces a novel fixed-time neurodynamic approach (FxTNA) for the fused lasso problem (FLP). FxTNA offers superior convergence speed and accuracy compared to existing methods, addressing computational inefficiencies.

Keywords:
Fixed-time convergenceFused lasso problemsNeurodynamic model

More Related Videos

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders
05:49

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

Published on: November 1, 2024

1.2K
Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis
06:44

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis

Published on: September 23, 2025

492

Related Experiment Videos

Last Updated: Jan 14, 2026

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions
07:34

A Simple Stimulatory Device for Evoking Point-like Tactile Stimuli: A Searchlight for LFP to Spike Transitions

Published on: March 25, 2014

10.3K
Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders
05:49

Author Spotlight: Deciphering Electrical Networks Behind Complex Brain Activities and Disorders

Published on: November 1, 2024

1.2K
Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis
06:44

Age-dependent Dynamics of Locomotion in Caenorhabditis elegans: A Lyapunov Exponent Analysis

Published on: September 23, 2025

492

Area of Science:

  • Computational mathematics
  • Neurodynamic modeling
  • Optimization algorithms

Background:

  • The fused lasso problem (FLP) is crucial in fields like biomedical engineering and signal processing.
  • Existing numerical algorithms for FLP are inefficient due to non-smoothness and non-separability.
  • A prior neurodynamic approach (FLSA) offered global convergence but lacked guaranteed convergence time.

Purpose of the Study:

  • To develop a novel neurodynamic approach for solving the fused lasso problem (FLP).
  • To achieve fixed-time convergence for FLP, overcoming limitations of existing methods.
  • To provide an explicit upper bound on convergence time, independent of initial conditions.

Main Methods:

  • Development of a new fixed-time neurodynamic approach (FxTNA).
  • Theoretical analysis to establish fixed-time convergence properties.
  • Numerical simulations to compare FxTNA with existing methods.

Main Results:

  • The proposed FxTNA model demonstrates fixed-time convergence for FLP.
  • An explicit, initial-state-independent upper bound on convergence time is derived.
  • Numerical simulations confirm FxTNA's superior convergence performance and solution accuracy.

Conclusions:

  • The FxTNA model presents a significant advancement in solving the fused lasso problem.
  • Fixed-time convergence offers predictable and efficient computation for FLP.
  • FxTNA is a promising tool for applications requiring fast and accurate solutions to FLP.