Criticality predicts maximum irregularity in recurrent networks of excitatory nodes.

ABSTRACT: A rigorous understanding of brain dynamics and function requires a conceptual bridge between multiple levels of organization, including neural spiking and network-level population activity. Mounting evidence suggests that neural networks of cerebral cortex operate at a critical regime, which is defined as a transition point between two phases of short lasting and chaotic activity. However, despite the fact that criticality brings about certain functional advantages for information processing, its supporting evidence is still far from conclusive, as it has been mostly based on power law scaling of size and durations of cascades of activity. Moreover, to what degree such hypothesis could explain some fundamental features of neural activity is still largely unknown. One of the most prevalent

SUBMITTER: Karimipanah Y 

PROVIDER: S-EPMC5560579 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature