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A Three-Threshold Learning Rule Approaches the Maximal Capacity of Recurrent Neural Networks

Understanding the theoretical foundations of how memories are encoded and retrieved in neural populations is a central challenge in neuroscience. A popular theoretical scenario for modeling memory function is the attractor neural network scenario, whose prototype is the Hopfield model. The model sim...

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Publicat a:PLoS Comput Biol
Autors principals: Alemi, Alireza, Baldassi, Carlo, Brunel, Nicolas, Zecchina, Riccardo
Format: Artigo
Idioma:Inglês
Publicat: Public Library of Science 2015
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC4546407/
https://ncbi.nlm.nih.gov/pubmed/26291608
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1004439
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