Neuronal avalanches in complex networks

Victor Hernandez-Urbina, J. Michael Herrmann

Research output: Contribution to journalArticlepeer-review


Brain networks are neither regular nor random. Their structure allows for optimal information processing and transmission across the entire neural substrate of an organism. However, for topological features to be appropriately harnessed, brain networks should implement a dynamical regime which prevents phase-locked and chaotic behaviour. Critical neural dynamics refer to a dynamical regime in which the system is poised at the boundary between regularity and randomness. It has been reported that neural systems poised at this boundary achieve maximum computational power. In this paper, we review recent results regarding critical neural dynamics that emerge from systems whose underlying structure exhibits complex network properties.
Original languageEnglish
Pages (from-to)1150408
Number of pages13
JournalCogent Physics
Issue number1
Publication statusPublished - 12 Feb 2016


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