Abstract
We set up a signal-driven scheme of associative neural networks with the coupling constants corresponding to certain information, and investigate the stimulus-response behaviors under the deterministic dynamics of chaotic neurons, comparing with the conventional case of Hopfield network with stochastic noise. It is shown that the chaotic neural network can enhance weak subthreshold signals and have higher coherence abilities between stimulus and response than those attained by the conventional stochastic model.
