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- W1553295536 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.KeywordsVisual FieldEnergy FunctionVisual AttentionConstraint SatisfactionKnowledge NetworkThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
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- W1553295536 title "SAIM: A model of visual attention and neglect" @default.
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- W1553295536 doi "https://doi.org/10.1007/bfb0020269" @default.
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