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Hopfield
proposed that memories could be
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energy minima of
a neural net.
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The binary
threshold decision rule can then be
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used to “clean
up” incomplete or corrupted
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memories.
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This
gives a content-addressable memory in
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which
an item can be accessed by just
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knowing
part of its content (like google)
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It
is robust against hardware damage.
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