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arXiv · 2207.00815

Simulating reaction time for Eureka effect in visual object recognition using artificial neural network

Kazufumi Hosoda·Shigeto Seno·Tsutomu Murata
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Abstract

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.

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Kazufumi Hosoda, Shigeto Seno, Tsutomu Murata. 2022-06-30. Simulating reaction time for Eureka effect in visual object recognition using artificial neural network. https://arxiv.org/abs/2207.00815

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