Memory capacity of networks with stochastic binary synapses.
In standard attractor neural network models, specific patterns of activity are stored in the synaptic matrix, so that they become fixed point attractors of the network dynamics. The storage capacity of such networks has been quantified in two ways: the maximal number of patterns that can be stored,...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Public Library of Science (PLoS)
2014-08-01
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| Collection: | PLoS Computational Biology |
| Accès en ligne: | http://europepmc.org/articles/PMC4125071?pdf=render |
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