Critical dynamics in associative memory networks
نویسندگان
چکیده
منابع مشابه
Critical dynamics in associative memory networks
Critical behavior in neural networks is characterized by scale-free avalanche size distributions and can be explained by self-regulatory mechanisms. Theoretical and experimental evidence indicates that information storage capacity reaches its maximum in the critical regime. We study the effect of structural connectivity formed by Hebbian learning on the criticality of network dynamics. The netw...
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ژورنال
عنوان ژورنال: Frontiers in Computational Neuroscience
سال: 2013
ISSN: 1662-5188
DOI: 10.3389/fncom.2013.00087