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Published March 1990 | Version public
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On the storage of correlated patterns in Hopfield's model

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Abstract

The effects of storing p statistically independent but effectively correlated patterns in the Hopfield model of associative memory are studied. This leads us to propose a local learning rule which by enhancing the differences among the patterns allows the network to store them with an efficiency comparable to nonlocal learning rules.

Additional Information

© 1990 Société Française de Physique.

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Eprint ID
102770
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CaltechAUTHORS:20200424-093108323

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Created
2020-04-24
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Updated
2021-11-16
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