Criticality is the singular state of complex systems poised at the brink of a phase transition
between order and randomness. Such systems display remarkable information-processing …

Cognitive function requires the coordination of neural activity across many scales, from
neurons and circuits to large-scale networks. As such, it is unlikely that an explanatory …

The entropic brain hypothesis proposes that within upper and lower limits, after which
consciousness may be lost, the entropy of spontaneous brain activity indexes the …

The past twenty-five years have seen a strong increase in the number of publications related
to criticality in different areas of neuroscience. The potential of criticality to explain various …

Definitions of what constitutes the 'signal of interest'in neuroscience can be controversial,
due in part to continuously evolving notions regarding the significance of spontaneous …

Balance between excitation (E) and inhibition (I) is a key principle for neuronal network
organization and information processing. Consistent with this notion, excitation-inhibition …

Entropy is a powerful tool for quantification of the brain function and its information
processing capacity. This is evident in its broad domain of applications that range from …

Highlights•The criticality hypothesis has received major attention in the past 25 years.•We
revise and discuss the experimental and conceptual controversies.•We propose that cortical …

Consciousness has been proposed to be supported by electrophysiological patterns poised
at criticality, a dynamical regime which exhibits adaptive computational properties …

Current theory proposes that healthy neural dynamics operate in a metastable regime,
where brain regions interact to simultaneously maximize integration and segregation …