The hypothesis suggests that the brain operates optimally near a critical point of phase transitions, balancing between subcritical and supercritical states. This critical state enhances the brain's capacity for information processing, allowing for complex and information-rich activity patterns. It posits that the brain's neural networks function best when connections are neither too weak nor too strong, maximizing the number of stable assemblies for information storage.

• John Beggs