Working memory prioritization: Goal-driven attention, physical salience, and implicit learning
Working memory prioritization: Goal-driven attention, physical salience, and implicit learning
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DOI：
10.1016/j.jml.2021.104287
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发表时间：
2021-12
影响因子：
4.3
通讯作者：
S. Ravizza;T. Pleskac;Taosheng Liu
中科院分区：
文献类型：
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作者：
S. Ravizza;T. Pleskac;Taosheng Liu
如果工作记忆中的项目与任务目标相关，是物理上突出的，或者从内隐学习中获得了重要性，那么它们会被优先考虑。我们认为，所有形式的优先级增加召回的可能性，但只有目标驱动的注意力会影响这些表示的质量。在一个延迟估计任务与四种颜色，优先级操纵通过预测空间线索（目标驱动的注意力），非预测性的外围线索（物理显着性），或隐式学习先前相关的目标位置。使用贝叶斯实现的混合模型的概率回忆的目标（Ptarget）和记忆精度进行了估计。强有力的证据表明，所有形式的优先级增加P目标，而物理显着性和内隐学习只有微弱或可忽略不计的影响相比，目标驱动的注意力的精度。我们认为，产生和维持高分辨率的记忆是一个努力的过程，主要是调用时，参与者自愿优先记忆项目。
Items in working memory (WM) are prioritized if they are relevant to task goals, are physically salient, or have acquired importance from implicit learning. We propose that all forms of prioritization increase the likelihood of recall, but only goal-driven attention will affect the quality of those representations. In a delayed-estimation task with four colors, prioritization was manipulated via a predictive spatial cue (goal-driven attention), a non-predictive peripheral cue (physical salience), or implicit learning of a previously relevant target location. Probabilities of recalling the target (Ptarget) and memory precision were estimated using a Bayesian implementation of the mixture model. Strong evidence was observed that all forms of prioritization increased Ptarget, whereas physical salience and implicit learning had only weak or negligible effects on precision compared to goal-driven attention. We propose that generating and maintaining high-resolution memories is an effortful process that will primarily be invoked when participants voluntarily prioritize memory items.