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A brain-inspired computational system is presented that allows sequential selection and processing of objects from a visual scene.
Enumerating visual objects from a visual scene is a task the human brain must continuously perform.
One of the major functions of the visual system is to identify and localize objects in a visual scene.
It has been suggested that saliency of a visual scene is computed pre-attentively in primary visual cortex [31].
Attention is used to enhance neural processing of selected parts of a visual scene.
How do we estimate the gravitational acceleration of an object in a visual scene?
Voluntary selective attention can prioritize different features in a visual scene.
How can researchers ascertain what participants remember from a visual scene?
There, the observed subjects' scan pattern for a visual scene varied, dependent on the given task.
Some studies [ 48, 62, 63, 72, 84] introduced gaze-control models for detecting a specific object in a visual scene.
When processing a visual scene, there are mechanisms for selecting relevant and filtering out irrelevant information [ 33].
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