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D. Heinke and G. W. Humphreys
ABSTRACT
This paper examines the reason for a particular impairment of cognitive functioning in brain-damaged patients called visual neglect. To achieve this goal a Selective Attention Identification Model (SAIM) was developed which performs translation-invariant object recognition. SAIM uses a constraint satisfaction routine based on a continuous Hopfield network to map an object into a focus of attention. The simulation results show that SAIM is a successful model of visual attention and visual neglect. 
ECVision indexed and annotated bibliography of cognitive computer vision publications
This bibliography was created by Hilary Buxton and Benoit Gaillard, University of Sussex, as part of ECVision Specific Action 8-1
The complete text version of this BibTeX file is available here: ECVision_bibliography.bib
SAIM}: {A} Model of visual attention and neglectSite generated on Friday, 06 January 2006