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The stability and bifurcation structure of a theoretical autoassociative network is studied. The network consists of randomly connected excitatory neurons, together with an inhibitory interneuron that sets their thresholds; both the degree of connectivity between the neurons and the level of firing in the stored memories can be set arbitrarily. The network dynamics are contained in a set of four...
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