Global Asymptotic Stability of a General Nonautonomous Cohen-Grossberg Model with Unbounded Amplification Functions
DOI10.1007/978-3-319-32144-8_12zbMath1371.34119OpenAlexW2505964193MaRDI QIDQ2832859
Publication date: 15 November 2016
Published in: From Particle Systems to Partial Differential Equations III (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-319-32144-8_12
global asymptotic stabilityCohen-Grossberg neural networksunbounded distributed delaysunbounded time-varying coefficientsunbounded amplification functions
Neural networks for/in biological studies, artificial life and related topics (92B20) Stability theory of functional-differential equations (34K20)
Cites Work
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- Existence and global asymptotic stability of positive periodic solution of delayed Cohen-Grossberg neural networks
- General criteria for asymptotic and exponential stabilities of neural network models with unbounded delays
- Convergence behavior of delayed cellular neural networks without periodic coefficients
- Global asymptotic stability for neural network models with distributed delays
- Dynamical analysis of Cohen-Grossberg neural networks with finite and infinite delays
- Almost periodic solutions of recurrent neural networks with continuously distributed delays
- Exponential convergence of BAM neural networks with time-varying coefficients and distributed delays
- Global asymptotic stability of nonautonomous Cohen-Grossberg neural network models with infinite delays
- BAM-type Cohen-Grossberg neural networks with time delays
- Stability analysis of Cohen--Grossberg neural network with both time-varying and continuously distributed delays
- Stability of Cohen-Grossberg neural networks with time-varying delays
- Stability of Cohen-Grossberg neural networks with unbounded distributed delays
- Absolute stability of global pattern formation and parallel memory storage by competitive neural networks
- Global asymptotic stability of delayed Cohen-Grossberg neural networks
- Neurons with graded response have collective computational properties like those of two-state neurons.
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