A Physical Theory For When the Brain Performs Best | Quanta MagazineVideo: The phenomenon of criticality can explain the sudden emergence of new properties in a wide range of complex systems, from avalanches to flocks of birds to stock market crashes. Neuroscientists are now seeking evidence that criticality is at work in the brain's networks of neurons.
Over the last few decades, an idea called the critical brain hypothesis has been helping neuroscientists understand how the human brain operates as an information-processing powerhouse. It posits that the brain is always teetering between two phases, or modes, of activity: a random phase, where it is mostly inactive, and an ordered phase, where it is overactive and on the verge of a seizure. The hypothesis predicts that between these phases, at a sweet spot known as the critical point, the brain has a perfect balance of variety and structure and can produce the most complex and information-rich activity patterns. This state allows the brain to optimize multiple information processing tasks, from carrying out computations to transmitting and storing information, all at the same time.
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