Simulating reaction time for Eureka effect in visual object recognition using artificial neural network
Neurons and Cognition
2022-07-05 v1 Artificial Intelligence
Computer Vision and Pattern Recognition
Machine Learning
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.
Keywords
Cite
@article{arxiv.2207.00815,
title = {Simulating reaction time for Eureka effect in visual object recognition using artificial neural network},
author = {Kazufumi Hosoda and Shigeto Seno and Tsutomu Murata},
journal= {arXiv preprint arXiv:2207.00815},
year = {2022}
}
Comments
2 pages, 2 figures