Results 61 to 70 of about 2,763 (144)
Bifurcational Behavior of a Cohen-Grossberg Neural Network of Two Neurons with Impulsive Effects [PDF]
: In this paper, a Cohen-Grossberg neural network composed of two neurons with nonisochronous impulsive effects is proposed and investigated. By employing Mawhin's coincidence theorem, we first show that the existence of semi-trivial periodic ...
Tao Peng
core
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 +4 more
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Global stability for discrete Cohen–Grossberg neural networks with finite and infinite delays
In this paper, the global stability problem for a general discrete Cohen–Grossberg neural network with finite and infinite delays is investigated. A simple criterion ensuring the global asymptotical stability is established, by applying the Lyapunov ...
Su, Huan +3 more
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The Cohen–Grossberg neural network is studied in the case when the dynamics of the neurons is modeled by a Riemann–Liouville fractional derivative with respect to another function and an appropriate initial condition is set up.
Ravi Agarwal +2 more
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Existence, uniqueness, and global asymptotic stability analysis for delayed complex-valued Cohen–Grossberg BAM neural ...
Subramanian Kuppusamy (16977027) +1 more
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How children learn to understand language meanings: a neural model of adult-child multimodal interactions in real-time. [PDF]
Grossberg S.
europepmc +1 more source
Boundedness and stability for Cohen–Grossberg neural network with time-varying delays
In this paper, a model is considered to describe the dynamics of Cohen–Grossberg neural network with variable coefficients and time-varying delays. Uniformly ultimate boundedness and uniform boundedness are studied for the model by utilizing the Hardy ...
Cao, Jinde, Liang, Jinling
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An impulsive Cohen-Grossberg neural network with time-varying and S-type distributed delays and reaction-diffusion terms is considered. By using Hardy-Poincaré inequality instead of Hardy-Sobolev inequality or just the nonpositivity of the reaction ...
Haydar Akça +2 more
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Dynamical Behaviors of Stochastic Reaction-Diffusion Cohen-Grossberg Neural Networks with Delays
This paper investigates dynamical behaviors of stochastic Cohen-Grossberg neural network with delays and reaction diffusion. By employing Lyapunov method, Poincaré inequality and matrix technique, some sufficient criteria on ultimate boundedness, weak ...
Qinghua Zhou, Li Wan, Jizi Li
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It is pointed out that an unnatural assumption is made in the following Letter [Z. Mao, H. Zhao, Phys. Lett. A 364 (1) (2007) 38). Therefore, the results of the Letter are not relevant to the real Cohen-Grossberg neural network model. (C) 2008 Elsevier B.
Sıngh, Vımal, Singh, Vimal
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