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A Dynamical Model of Feature-Based Attention with Strong Lateral Inhibition to Resolve Competition Among Candidate Feature Locations

机译:基于特征的关注动态模型,具有强大的横向抑制来解决候选特征位置的竞争

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When subjects are instructed to attend to an object defined by a feature in the visual field, e.g. a shape element, a colour, or a direction of motion, one finds correlates of this feature in neural activity across all retinotopic locations in low level areas in visual cortex, even in locations far removed from the neurons representing the object of interest. Next to the well established phenomenon of spatial attention, there is another form of attention which is feature-based, but not location specific. While feature-based attention has been demonstrated convincingly, its role is not well established. In earlier work we have suggested that is role is to help to prepare eye movements (or other motor actions) to the object of interest. In order to be able to do so, the location of the defining feature must first be established. In a single-object scene this is trivial, but in a multi-object scene the feature must be located among distractors. While we showed there that the retinotopic position of the object can be retrieved by an interaction between top-down attention-driven activation and stimulus-driven activation in lower visual areas, we did not model the dynamics of the selection process explicitly. Here we show that if one does this, one must resolve a competition process between the location of interest and those of the distractors. The process is decided by feature-based attention, but in order to implement this competition lateral inhibitory connections are required, in line with the 'biased-competition model'. We will show that this process enables an unambiguous determination of the location of the target object and that the effect of the lateral inhibition is the effective shrinkage of receptive fields around an attended object which has been reported in several experiments.
机译:当指示受试者参加由视野中的特征定义的对象时,例如,一种形状元素,颜色或运动方向,一种发现在视觉皮质中低水平区域中的所有视网膜运动位置的神经活动中的这种特征的相关性,即使在从代表感兴趣对象的神经元移除的位置。在熟悉的空间注意力旁边,还有另一种形式的关注,即基于特征,但没有具体的位置。虽然基于特征的注意力令人信服地证明,但其作用并不完整。在早期的工作中,我们建议的作用是帮助为感兴趣的对象做好准备眼影(或其他电动机行动)。为了能够这样做,必须首先建立定义功能的位置。在一个对象场景中,这是微不足道的,但在多目标场景中,该功能必须位于牵引器中。虽然我们在那里展示了物体的视网膜外位位置,可以通过在较低的视觉区域中自上而下的注意力激活和刺激驱动激活之间的相互作用来检索,我们没有明确地模拟选择过程的动态。在这里,我们表明,如果一个人这样做,必须解决兴趣地点与患病者之间的竞争过程。该过程由基于特征的注意力决定,但为了实现这一竞争,需要横向抑制连接,符合“偏见竞争模型”。我们将表明,该过程能够明确地确定目标对象的位置,并且横向抑制的效果是在几个实验中报道的参与物体周围的接受场的有效收缩。

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