DocumentCode :
2713445
Title :
Single vs. population cell coding: Gaze movement control in target search
Author :
Miao, Jun ; Qing, Laiyun ; Duan, Lijuan ; Zou, Baixian
Author_Institution :
Key Lab. of Intell. Inf. Process., Chinese Acad. of Sci., Beijing, China
fYear :
2009
fDate :
14-19 June 2009
Firstpage :
2103
Lastpage :
2108
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.
Keywords :
bioinformatics; neurophysiology; visual perception; cell coding cost; grandmother cell; human visual search system; population cell coding; single cell coding; target locating accuracy; target search gaze movement control; visual context; winner take all method; Biological neural networks; Control systems; Costs; Educational institutions; Humans; Image analysis; Image coding; Image databases; Information analysis; Information science;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2009. IJCNN 2009. International Joint Conference on
Conference_Location :
Atlanta, GA
ISSN :
1098-7576
Print_ISBN :
978-1-4244-3548-7
Electronic_ISBN :
1098-7576
Type :
conf
DOI :
10.1109/IJCNN.2009.5178998
Filename :
5178998
Link To Document :
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