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首页> 外文期刊>Journal of vision >Mobile computation: Spatiotemporal integration of the properties of objects in motion
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Mobile computation: Spatiotemporal integration of the properties of objects in motion

机译:移动计算:运动中对象的时空整合

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We demonstrate that, as an object moves, color and motion signals from successive, widely spaced locations are integrated, but letter and digit shapes are not. The features that integrate as an object moves match those that integrate when the eyes move but the object is stationary (spatiotopic integration). We suggest that this integration is mediated by large receptive fields gated by attention and that it occurs for surface features (motion and color) that can be summed without precise alignment but not shape features (letters or digits) that require such alignment. Rapidly alternating pairs of colors and motions were presented at several locations around a circle centered at fixation. The same two stimuli alternated at each location with the phase of the alternation reversing from one location to the next. When observers attended to only one location, the stimuli alternated in both retinal coordinates and in the attended stream: feature identification was poor. When the observer`s attention shifted around the circle in synchrony with the alternation, the stimuli still alternated at each location in retinal coordinates, but now attention always selected the same color and motion, with the stimulus appearing as a single unchanging object stepping across the locations. The maximum presentation rate at which the color and motion could be reported was twice that for stationary attention, suggesting (as control experiments confirmed) object-based integration of these features. In contrast, the identification of a letter or digit alternating with a mask showed no advantage for moving attention despite the fact that moving attention accessed (within the limits of precision for attentional selection) only the target and never the mask. The masking apparently leaves partial information that cannot be integrated across locations, and we speculate that for spatially defined patterns like letters, integration across large shifts in location may be limited by problems in aligning successive samples. Our results also suggest that as attention moves, the selection of any given location (dwell time) can be as short as 50 ms, far shorter than the typical dwell time for stationary attention. Moving attention can therefore sample a brief instant of a rapidly changing stream if it passes quickly through, giving access to events that are otherwise not seen.
机译:我们证明,随着对象的移动,来自连续的,间隔较大的位置的颜色和运动信号将被集成,但字母和数字的形状则不会。当对象移动时集成的特征与当眼睛移动但对象静止时集成的特征匹配(空间积分)。我们建议这种整合是由注意引起的大感受场介导的,它发生于表面特征(运动和颜色),这些特征可以在没有精确对齐的情况下求和,而在不需要进行这种对齐的形状特征(字母或数字)上却没有。在以注视为中心的圆周围的几个位置,呈现出快速交替的颜色和运动对。相同的两个刺激在每个位置交替出现,交替的相位从一个位置转换到另一位置。当观察者仅在一个位置上观察时,刺激在视网膜坐标和所观察到的流中交替出现:特征识别很差。当观察者的注意力与交替同步地绕圆移动时,刺激仍在视网膜坐标的每个位置交替出现,但现在注意力始终选择相同的颜色和运动,刺激表现为单个不变的对象跨过视线。位置。可以报​​告颜色和运动的最大呈现速率是静止注意力的两倍,这表明(如对照实验所证实)这些功能基于对象的集成。相反,识别字母或数字与遮罩交替显示对于移动注意力没有优势,尽管事实上移动注意力仅在目标而不是遮罩的范围内(在注意力选择的精度范围内)获得。掩盖显然留下了无法跨位置整合的部分信息,并且我们推测,对于空间定义的图案(如字母),跨较大位置偏移的整合可能会受到对齐连续样本的问题的限制。我们的结果还表明,随着注意力的转移,任何给定位置(停留时间)的选择都可以短至50毫秒,远远短于静止注意力的典型停留时间。因此,如果移动注意力迅速通过,则可以将注意力集中在快速变化的信息流的短暂瞬间,从而获得其他情况下看不到的事件。

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