Single vs. population cell coding: gaze movement control in target search

Authors:
Jun Miao;Laiyun Qing;Lijuan Duan;Baixian Zou
Affiliations:
Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;School of Information Science and Engineering, Graduate University of the Chinese Academy of Sciences, Beijing, China;College of Computer Science and Technology, Beijing University of Technology, Beijing, China;Department of Information Science and Technology, College of Art and Science of Beijing Union Technology, Beijing, China
Venue:
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Year:
2009

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Abstract

Gaze movement plays an important role in human visual search system. In literature, the winner-take-all method is wildly used to simulate the controlling of the gaze movement. The winner-take-all is a type of single-cell coding method, which uses one cell (grandmother cell) or one response to represent an object. However, eye movement is affected by the visual context which includes more than one object in images, especially in target search. Therefore, we propose to use the population coding with more than one response rather than the single-cell coding on gaze movement control. The proposed method is supported by the theoretical analysis and experiments on a real image database which show the population-cell-coding improves the target locating accuracy by 44.4% only at the cost of coding 22.4% more information than that of single-cell-coding.