Learning with Delayed Synaptic Plasticity [PDF]
, 2019 The plasticity property of biological neural networks allows them to perform learning and optimize their behavior by changing their configuration. Inspired by biology, plasticity can be modeled in artificial neural networks by using Hebbian learning ...
Fletcher, George +4 more
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Asymptotic Stability and Exponential Stability of Impulsive Delayed Hopfield Neural Networks
Abstract and Applied Analysis, 2013 A criterion for the uniform asymptotic stability of the equilibrium point of impulsive delayed Hopfield neural networks is presented by using Lyapunov functions and linear matrix inequality approach.
Jing Chen, Xiaodi Li, Dequan Wang
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Robust synchronization of an array of coupled stochastic discrete-time delayed neural networks [PDF]
, 2008 Copyright [2008] IEEE. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Brunel University's products or services.
Liang, J, Liu, X, Liu, Y, Wang, Z
core +3 more sources
Stability and Hopf Bifurcation of Fractional-Order Complex-Valued Neural Networks With Time-Delay
IEEE Access, 2019 Integer-order complex-valued neural networks (CVNNs) have drawn much attention, and which have already been well discussed. Fractional complex-valued neural networks (FCVNNs) are more suitable for describing the dynamical properties of neural networks ...
Xiaohong Wang +4 more
doaj +1 more source
Stability and Stabilization of Delayed Neural Networks with Hybrid Impulses
Complexity, 2020 In this paper, the stability and stabilization issues for a class of delayed neural networks with time-varying hybrid impulses are investigated.
Kefa Zou +4 more
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Lag synchronization of coupled time-delayed FitzHugh–Nagumo neural networks via feedback control
Scientific Reports, 2021 Synchronization plays a significant role in information transfer and decision-making by neurons and brain neural networks. The development of control strategies for synchronizing a network of chaotic neurons with time delays, different direction ...
Malik Muhammad Ibrahim +4 more
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Fractal and Fractional, 2022 In this current study, we formulate a kind of new fractional BAM neural network model concerning five neurons and time delays. First, we explore the existence and uniqueness of the solution of the formulated fractional delay BAM neural network models via
Peiluan Li +3 more
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Dynamics analysis on a class of delayed neural networks involving inertial terms
Advances in Differential Equations, 2020 This paper explores a class of unbounded distributed delayed inertial neural networks. By introducing some new differential inequality analysis and abandoning the traditional order reduction technique, some new assertions are derived to verify the global
Jian Zhang, Chuangxia Huang
semanticscholar +1 more source
Synchronization in an array of linearly stochastically coupled networks with time delays [PDF]
, 2007 This is the post print version of the article. The official published version can be obtained from the link - Copyright 2007 Elsevier LtdIn this paper, the complete synchronization problem is investigated in an array of linearly stochastically coupled ...
Cao, J, Sun, Y, Wang, Z
core +1 more source
Influence of Time Delay on Bifurcation in Fractional Order BAM Neural Networks With Four Delays
IEEE Access, 2019 Over the past several decades, numerous scholars have studied the stability and Hopf bifurcation problem of integer-order delayed neural networks. However, the fruits about the stability and Hopf bifurcation for fractional-order delayed neural networks ...
Changjin Xu +3 more
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