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The binary asynchronous Hopfield model is a content-addressable memory for classification of binary tuples. The memory, which is a dynamic device, is prompted by a user-supplied cue, clamped to the memory as an initial state. The model is ideally designed to store a number of binary tuples as fixed points, and to classify the initial state into one of these(More)
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