Critical branching processes in neural networks

Anna Levina, J. Michael Herrmann, Manfred Denker

Research output: Contribution to journalArticlepeer-review

Abstract

Self-organized criticality generates complex behavior in systems of simple elements. It is observed in various biological neural systems and has been analyzed in simplified model systems. Branching processes often considered to be a mean-field approximation to the dynamics of critical systems. Here we study the validity of such an approximation for the case of a neural network. (© 2008 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim)
Original languageEnglish
Pages (from-to)1030701-1030702
Number of pages2
JournalProceedings in Applied Mathematics and Mechanics
Volume7
Issue number1
DOIs
Publication statusPublished - 2007

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