Abstract
We discuss the influence of delayed synaptic signal transmission and memorizing prior synaptic activity on the static and the dynamical properties of attractor neural networks. We find a significant reduction of the system's random response and a considerable enhancement of the response to stimuli with frequencies proportional to the inverse delay or memory time scale.
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