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Crowding follows the binding of relative position and orientation

机译:拥挤遵循相对位置和方向

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Crowdinga??the deleterious influence of clutter on object recognitiona??disrupts the identification of visual features as diverse as orientation, motion, and color. It is unclear whether this occurs via independent feature-specific crowding processes (preceding the feature binding process) or via a singular (late) mechanism tuned for combined features. To examine the relationship between feature binding and crowding, we measured interactions between the crowding of relative position and orientation. Stimuli were a target cross and two flanker crosses (each composed of two near-orthogonal lines), 15 degrees in the periphery. Observers judged either the orientation (clockwise/counterclockwise) of the near-horizontal target line, its position (up/down relative to the stimulus center), or both. For single-feature judgments, crowding affected position and orientation similarly: thresholds were elevated and responses biased in a manner suggesting that the target appeared more like the flankers. These effects were tuned for orientation, with near-orthogonal elements producing little crowding. This tuning allowed us to separate the predictions of independent (feature specific) and combined (singular) models: for an independent model, reduced crowding for one feature has no effect on crowding for other features, whereas a combined process affects either all features or none. When observers made conjoint judgments, a reduction of orientation crowding (by increasing targeta??flanker orientation differences) increased the rate of correct responses for both position and orientation, as predicted by our combined model. In contrast, our independent model incorrectly predicted a high rate of position errors, since the probability of positional crowding would be unaffected by changes in orientation. Thus, at least for these features, crowding is a singular process that affects bound position and orientation values in an all-or-none fashion.
机译:Crowdinga(杂波对物体识别的有害影响)扰乱了视觉特征的识别,这些视觉特征包括方向,运动和颜色。目前尚不清楚这是通过独立的特定于特征的拥挤过程(在特征绑定过程之前)还是通过针对组合特征调整的单一(后期)机制发生的。为了检查特征绑定和拥挤之间的关系,我们测量了相对位置和方向的拥挤之间的相互作用。刺激是一个目标十字和两个侧翼十字(每个都由两条近正交线组成),周围为15度。观察者判断接近水平目标线的方向(顺时针/逆时针),其位置(相对于刺激中心的上/下)或两者。对于单特征判断,拥挤影响的位置和方向类似:阈值升高且响应偏向,表明目标看起来更像侧翼。调整了这些效果的方向,使接近正交的元素几乎不拥挤。这种调整使我们能够将独立(特定于功能)模型和组合(单一)模型的预测分开:对于独立模型,减少一个特征的拥挤不会影响其他特征的拥挤,而组合过程会影响所有特征或不影响任何特征。当观察者做出共同判断时,定向拥挤的减少(通过增加targeta ??侧翼定向差异)会增加对位置和定向的正确响应率,这是我们的组合模型所预测的。相反,我们的独立模型错误地预测了较高的位置错误率,因为位置拥挤的可能性不会受到方向变化的影响。因此,至少对于这些特征,拥挤是单个过程,其以全有或全无的方式影响束缚的位置和取向值。

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