A Viewpoint on: Brain Organization into Resting State Networks Emerges at Criticality on a Model of the Human Connectome

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Colloquium: Criticality and dynamical scaling in living systems (2017, background): “This is consistent with the finding that e.g. models for brain activity reach highest signal complexity, with a variety of attractors and multistability when operating near criticality (Deco and Jirsa, 2012; Haimovici et al., 2013).”
Criticality in the brain: A synthesis of neurobiology, models and cognition. (2017, background): “Among the most intriguing findings are the recapitulation of the classic resting-state networks (Yeo et al., 2011) by models of critical dynamics arising from primate (Honey et al., 2007) and human (Haimovici et al., 2013) structural connectomes.”
Griffiths phases and the stretching of criticality in brain networks (2013, background): “In the context of neuroscience, synchronization patterns have been shown to exhibit broadband criticality [5], critical avalanches of spontaneous neural activity have been consistently found both in vitro [6–8] and in vivo [9], and results from large-scale brain models based on the human connectome ”