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A simple delayed neural network with large capacity for associative memory

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  • We consider periodic solutions of a system of difference equations with delay arising from a discrete neural network. We show that such a small network possesses a huge amount of stable periodic orbits with large domains of attraction if the delay is large, and thus the network has the potential large capacity for associative memory and for temporally periodic pattern recognition.
    Mathematics Subject Classification: 39A11, 92B21.


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