The capacity of the Hopfield associative memory
IEEE Transactions on Information Theory
Exponential stability of Cohen-Grossberg neural networks
Neural Networks
Dynamics of periodic delayed neural networks
Neural Networks
Globally stable periodic state of delayed cohen-grossberg neural networks
ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I
Information capacity of the Hopfield model
IEEE Transactions on Information Theory
Neural networks, orientations of the hypercube, and algebraic threshold functions
IEEE Transactions on Information Theory
Robust global exponential stability of Cohen-Grossberg neural networks with time delays
IEEE Transactions on Neural Networks
Stability analysis for stochastic Cohen-Grossberg neural networks with mixed time delays
IEEE Transactions on Neural Networks
The numerical simulation of periodic solutions for a predator-prey system
Computers & Mathematics with Applications
Periodic solutions for high-order cohen-grossberg-type BAM neural networks with time-delays
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part I
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Sufficient conditions are obtained for the existence and global attractivity of periodic solutions of a class of higher-order Cohen-Grossberg type neural networks with delays. The proof is based on Gaines and Mawhin's continuation theorem of coincidence degree theory, the Lyapunov functional and a nonsingular M-matrix. One example is exploited to illustrate the effectiveness of the proposed criteria.