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Explicit goal-driven attention unlike implicitly learned attention spreads to secondary tasks

机译:与隐式学习的注意力不同明确的目标驱动的注意力传播到次要任务

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摘要

To what degree does spatial attention for one task spread to all stimuli in the attended region, regardless of task-relevance? Most models imply that spatial attention acts through a unitary priority map in a task-general manner. We show that implicit learning, unlike endogenous spatial cuing, can bias spatial attention within one task without biasing attention to a spatially overlapping secondary task. Participants completed a visual search task superimposed on a background containing scenes, which they were told to encode for a later memory task. Experiments 1 and 2 used explicit instructions to bias spatial attention to one region for visual search; Experiment 3 used location probability cuing to implicitly bias spatial attention. In location probability cuing, a target appeared in one region more than others despite participants not being told of this. In all experiments, search performance was better in the cued region than in uncued regions. However, scene memory was better in the cued region only following endogenous guidance, not after implicit biasing of attention. These data support a dual-system view of top-down attention that dissociates goal-driven and implicitly learned attention. Goal-driven attention is task-general, amplifying processing of a cued region across tasks, whereas implicit statistical learning is task-specific.
机译:无论任务的相关性如何,一项任务的空间注意力在多大程度上会扩散到参与区域的所有刺激?大多数模型都暗示空间注意力通过整体优先级图以任务一般的方式起作用。我们表明,与内源性空间暗示不同,内隐学习可以使一项任务内的空间注意力偏向于一个,而不会引起对空间重叠的次要任务的偏向。参与者完成了一个视觉搜索任务,该任务叠加在包含场景的背景上,并被告知进行编码以进行后续的记忆任务。实验1和2使用明确的指令将空间注意力偏向一个区域以进行视觉搜索。实验3使用位置概率提示来隐式偏向空间注意力。在位置概率提示中,尽管没有告知参与者,目标在一个区域的出现比其他区域多。在所有实验中,提示区域中的搜索性能均优于非提示区域。但是,仅在进行内源性引导后,提示区域的场景记忆才更好,而不是在隐式偏向注意力之后。这些数据支持自上而下的注意力的双重系统视图,从而分离了目标驱动的和隐式学习的注意力。目标驱动的注意力是一般任务,可放大跨任务的提示区域的处理,而隐式统计学习则是特定于任务的。

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