Delay-independent stability in bidirectional associative memory networks
K. Gopalsamy, Xue-Zhong 'Tony' He · IEEE Transactions on Neural Networks · 1994
It is shown that if the neuronal gains are small compared with the synaptic connection weights, then a bidirectional associative memory network with axonal signal transmission delays converges to the equilibria associated with exogenous inputs to the network. Both discrete and continuously distributed delays are considered; the asymptotic stability is global in the state space of neuronal activations and also is independent of the delays.