DocumentCode :
423579
Title :
Knowing what and where: a computational model for visual attention
Author :
Chokshi, Kaustubh ; Panchev, Christo ; Wermter, Stefan ; Taylor, John G.
Author_Institution :
Centre for Hybrid Intelligent Syst., Sunderland Univ., UK
Volume :
1
fYear :
2004
fDate :
25-29 July 2004
Lastpage :
524
Abstract :
We describe a model of invariant object recognition in the brain that incorporates feedback biasing effects of top-down attentional mechanism on a hierarchically organised set of visual cortical areas. The model displays a space based and a object based visual search by using a top-down attention feedback model from posterior parietal modules and interaction between the two processing streams dorsal and ventral.
Keywords :
brain models; neurophysiology; object recognition; vision; brain; dorsal stream; feedback biasing effects; invariant object recognition; posterior parietal modules; top-down attentional mechanism; ventral stream; visual attention; visual cortical area; Brain modeling; Computational modeling; Educational institutions; Hybrid intelligent systems; Mathematics; Neurofeedback; Neurons; Object recognition; Shape; Visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
ISSN :
1098-7576
Print_ISBN :
0-7803-8359-1
Type :
conf
DOI :
10.1109/IJCNN.2004.1379963
Filename :
1379963
Link To Document :
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