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A neurodynamical model for selective visual attention considering orientation preference is proposed.Since orientation preference is one of the most important properties of neurons in the primary visual cortex,it should be fully considered besides exteal stimuli intensity.By tuning the parameter of orientation preference,the regimes of synchronous dynamics associated with the development of the attention focus are studied.The attention focus is represented by those peripheral neurons that generate spikes synchronously with the central neuron while the activity of other peripheral neurons is suppressed.Such dynamics correspond to the partial synchronization mode.Simulation results show that the model can sequentially select objects with different orientation preferences and has a reliable shift of attention from one object to another,which are consistent with the experimental results that neurons with different orientation preferences are laid out in pinwheel pattes.Selective visual attention is a traditional problem in computer vision and robotics.A number of investigations have been made to clarify how the problem of object selection and segmentation is solved by the brain.[1] Niebur and Koch have presented a model for the experimental data recorded from the striate and extrastriate areas of the neocortex.[2] Corchs and Deco developed a model of visual conjunction-feature search where attention bias was modulated by top-down signals,from memory that coded target feature values to feature processing structures in the primary areas of the visual cortex.[3]