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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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Principais autores: Alireza Alemi, Carlo Baldassi, Nicolas Brunel, Riccardo Zecchina
Format: Artigo
Jezik:Inglês
Izdano: Public Library of Science (PLoS) 2015-08-01
Serija:PLoS Computational Biology
Online dostop:http://europepmc.org/articles/PMC4546407?pdf=render
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