Simulating Reaction Time for Eureka Effect in Visual Object Recognition Using Artificial Neural Network
DOI:
https://doi.org/10.52731/liir.v003.060Keywords:
Eureka effect, Visual object recognition, Artificial neural networkAbstract
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 between input-dependent firing and stochastic-spontaneous firing. Here we constructed an artificial-neural-network-based model that simulated the characteristics of the human Eureka recognition.
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