Matrix analysis
Complete stability in multistable delayed neural networks
Neural Computation
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
Technical communique: An improved result for complete stability of delayed cellular neural networks
Automatica (Journal of IFAC)
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This work studies a system of delayed differential equations as a model for a neural network with distributed delay sign propagation and sigmoidal activation functions. Typically multiple equilibria, 3^n equilibria, and non-typically multiple equilibria are both derived in an n-neuron system. Local stability and complete stability are investigated, and three examples are presented to demonstrate the theory.