AN OSCILLATORY NEURAL MODEL FOR TRACKING A MOVING OBJECT

摘要

We describe an oscillatory neural model of attention that can be used to track a moving target among a set of distractors. The model works with a set of identical visual objects randomly moving on the screen. At the initial stage, the model selects into the focus of attention an arbitrary object that is considered as a target. Other objects are used as distractors. The model aims to preserve the target until one of the following events takes place: If a target moves outside the boundaries of the visual field, another target is selected in the focus of attention. If a target overlaps with a distractor, the focus of attention is spread over the composite object. After separation of the objects only one of them is kept in the attention focus. This scheme of attention focus formation and switching is implemented through a proper interplay of synchronizing and desynchronizing interactions in a neural network with a central element.