Critical dynamics in associative memory networks

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 st...

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Bibliographic Details
Main Authors: Maximilian eUhlig, Anna eLevina, Theo eGeisel, Michael eHerrmann
Format: Article
Language:English
Published: Frontiers Media S.A. 2013-07-01
Series:Frontiers in Computational Neuroscience
Subjects:
Associative Memory
Hebbian Learning
SOC
dynamical synapses
homeostatic learning
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2013.00087/full

Internet

http://journal.frontiersin.org/Journal/10.3389/fncom.2013.00087/full

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