Title
Single vs. population cell coding: Gaze movement control in target search
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.
Year
DOI
Venue
2009
10.1109/IJCNN.2009.5178998
IJCNN
Keywords
Field
DocType
single-cell coding,movement control,winner-take-all method,target search gaze movement control,neurophysiology,population cell coding,visual context,human visual search system,winner take all method,single-cell coding method,cell coding cost,grandmother cell,target search,visual perception,bioinformatics,eye movement,target locating accuracy,single cell coding,feature extraction,information analysis,visual search,pixel,visualization,population coding,control systems,winner take all,encoding,information science,image analysis
Population,Visual search,Computer vision,Gaze,Grandmother cell,Computer science,Neural coding,Coding (social sciences),Eye movement,Artificial intelligence,Visual perception
Conference
ISSN
ISBN
Citations 
1098-7576 E-ISBN : 978-1-4244-3553-1
978-1-4244-3553-1
0
PageRank 
References 
Authors
0.34
12
4
Name
Order
Citations
PageRank
Jun Miao122022.17
Laiyun Qing233724.66
Lijuan Duan321526.13
Baixian Zou461.88