Associative memory on a small-world neural network
ISSN: |
1434-6036
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Source: |
Springer Online Journal Archives 1860-2000
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Topics: |
Physics
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Notes: |
Abstract. We study a model of associative memory based on a neural network with small-world structure. The efficacy of the network to retrieve one of the stored patterns exhibits a phase transition at a finite value of the disorder. The more ordered networks are unable to recover the patterns, and are always attracted to non-symmetric mixture states. Besides, for a range of the number of stored patterns, the efficacy has a maximum at an intermediate value of the disorder. We also give a statistical characterization of the spurious attractors for all values of the disorder of the network.
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Type of Medium: |
Electronic Resource
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URL: |