  The human brain can recognize objects hidden in even severely degraded images
after observing them for a while, which is known as a type of Eureka effect,
possibly associated with human creativity. A previous psychological study
suggests that the basis of this "Eureka recognition" is neural processes of
coincidence of multiple stochastic activities. Here we constructed an
artificial-neural-network-based model that simulated the characteristics of the
human Eureka recognition.
