Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 998-1002 |
| Number of pages | 5 |
| Journal | IEEE Transactions on Neural Networks |
| Volume | 5 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published - Nov 1994 |
| Externally published | Yes |
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