Visual selection and attention shifting based on fitzhugh-nagumo equations

Authors:
Haili Wang;Yuanhua Qiao;Lijuan Duan;Faming Fang;Jun Miao;Bingpeng Ma
Affiliations:
College of Applied Science, Beijing University of Technology, Beijing, China;College of Applied Science, Beijing University of Technology, Beijing, China;College of Computer Science and Technology, Beijing University of Technology, Beijing, China;College of Computer Science and Technology, Beijing University of Technology, Beijing, China;Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
Venue:
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part II
Year:
2010

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Abstract

In this paper, we make some analysis on the FitzHugh-Nagumo model and improve it to build a neural network, and the network is used to implement visual selection and attention shifting Each group of neurons representing one object of a visual input is synchronized; different groups of neurons representing different objects of a visual input are desynchronized Cooperation and competition mechanism is also introduced to accelerate oscillating frequency of the salient object as well as to slow down other objects, which result in the most salient object jumping to a high frequency oscillation, while all other objects being silent The object corresponding to high frequency oscillation is selected, then the selected object is inhibited and other neurons continue to oscillate to select the next salient object.