Results 51 to 60 of about 388 (131)

Impulsive Memristive Cohen–Grossberg Neural Networks Modeled by Short Term Generalized Proportional Caputo Fractional Derivative and Synchronization Analysis

Mathematics, 2022
The synchronization problem for impulsive fractional-order Cohen–Grossberg neural networks with generalized proportional Caputo fractional derivatives with changeable lower limit at any point of impulse is studied.
Ravi Agarwal, Snezhana Hristova
doaj   +1 more source

Updates and future perspectives on neuropsychiatric symptoms in Alzheimer's disease

Alzheimer's &Dementia, Volume 21, Issue 3, March 2025.
Abstract Neuropsychiatric symptoms (NPS) are common throughout the Alzheimer's disease (AD) continuum and profoundly affect patients, caregivers, and health‐care systems. This review synthesizes key research presented in the 2022 and 2023 Alzheimer's Association International Society to Advance Alzheimer's Research and Treatment Neuropsychiatric ...
Myuri Ruthirakuhan, Dylan X. Guan, Moyra Mortby, Jennifer Gatchel, Ganesh M. Babulal   +4 more
wiley   +1 more source

On the Stability with Respect to H-Manifolds for Cohen–Grossberg-Type Bidirectional Associative Memory Neural Networks with Variable Impulsive Perturbations and Time-Varying Delays

Mathematics, 2020
The present paper is devoted to Bidirectional Associative Memory (BAM) Cohen−Grossberg-type impulsive neural networks with time-varying delays.
Gani Stamov, Ivanka Stamova, Stanislav Simeonov, Ivan Torlakov   +3 more
doaj   +1 more source

A Novel Analysis of Hopf Bifurcation for a Generalized Binary Fractional‐Order Neural Network Involving Mixed Delays

Journal of Mathematics, Volume 2025, Issue 1, 2025.
This paper provides an extensive binary fractional‐order neural network system with mixed delays consisting of two discrete delays and two distributed delays and emphasizes novel bifurcation methods and theoretical analysis. First, the original system is transformed into a five‐neuron fractional‐order neural network with four delays by introducing ...
Long Li, Yanxia Zhang, Mengxin Chen
wiley   +1 more source

Adaptive Global Synchronization for a Class of Quaternion-Valued Cohen-Grossberg Neural Networks with Known or Unknown Parameters

Mathematics, 2023
In this paper, the adaptive synchronization problem of quaternion-valued Cohen–Grossberg neural networks (QVCGNNs), with and without known parameters, is investigated. On the basis of constructing an appropriate Lyapunov function, and utilizing parameter
Jun Guo, Yanchao Shi, Weihua Luo, Yanzhao Cheng, Shengye Wang   +4 more
doaj   +1 more source

Attracting and Quasi-Invariant Sets of Cohen-Grossberg Neural Networks with Time Delay in the Leakage Term under Impulsive Perturbations

Abstract and Applied Analysis, 2015
A class of impulsive Cohen-Grossberg neural networks with time delay in the leakage term is investigated. By using the method of M-matrix and the technique of delay differential inequality, the attracting and invariant sets of the networks are obtained ...
Guiying Chen, Linshan Wang
doaj   +1 more source

Information Processing with Stability Point Modeling in Cohen–Grossberg Neural Networks

Axioms, 2023
The aim of this article is to develop efficient methods of expressing multilevel structured information from various modalities (images, speech, and text) in order to naturally duplicate the structure as it occurs in the human brain.
Ekaterina Gospodinova, Ivan Torlakov
doaj   +1 more source

Finite-Time and Fixed-Time Synchronization of Memristor-Based Cohen–Grossberg Neural Networks via a Unified Control Strategy

Mathematics
This article focuses on the problem of finite-time and fixed-time synchronization for Cohen–Grossberg neural networks (CGNNs) with time-varying delays and memristor connection weights.
Mei Liu, Binglong Lu, Jinling Wang, Haijun Jiang, Cheng Hu   +4 more
doaj   +1 more source

Periodic Solutions of a Cohen-Grossberg-Type BAM Neural Networks with Distributed Delays and Impulses

Journal of Applied Mathematics, 2012
A class of Cohen-Grossberg-type BAM neural networks with distributed delays and impulses are investigated in this paper. Sufficient conditions to guarantee the uniqueness and global exponential stability of the periodic solutions of such networks are ...
Qiming Liu, Rui Xu
doaj   +1 more source

Global Convergence for Cohen-Grossberg Neural Networks with Discontinuous Activation Functions

Abstract and Applied Analysis, 2012
Cohen-Grossberg neural networks with discontinuous activation functions is considered. Using the property of M-matrix and a generalized Lyapunov-like approach, the uniqueness is proved for state solutions and corresponding output solutions, and ...
Yanyan Wang, Jianping Zhou
doaj   +1 more source