SAIM: A Model of Visual Attention and Neglect

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.