Reward predictions bias attentional selection.
Reward predictions bias attentional selection.
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DOI：
10.3389/fnhum.2013.00262
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发表时间：
2013
影响因子：
2.9
通讯作者：
Yantis S
中科院分区：
文献类型：
--
作者：
Anderson BA;Laurent PA;Yantis S
注意根据自适应选择时间表选择刺激进行知觉和认知加工。人们早就知道，注意力会选择与任务相关或感知上显著的刺激。最近的证据表明，先前与奖励相关的刺激会不自觉地持续捕获注意力，即使它们不再与奖励相关。在这里，我们研究了先前与奖励相关的刺激对注意力的捕获是否受到当前但不相关的奖励的处理的调节。在一个训练阶段，参与者学会了将两种颜色的刺激与不同数量的奖励联系起来。在随后的测试阶段，这些先前奖励的颜色刺激偶尔会作为被忽略的干扰物出现，而参与者则对两个不同奖励的形状定义的目标进行视觉搜索。结果表明，在测试阶段，当最近收到的和当前期望的奖励都是最高的时候，以前获得奖励的分心物的注意力捕获是最大的，即使这些奖励与颜色分心物无关。我们的研究结果支持一个模型，即通过奖励学习获得的价值驱动的注意偏差通过预测未来奖励的认知机制得以维持。
Attention selects stimuli for perceptual and cognitive processing according to an adaptive selection schedule. It has long been known that attention selects stimuli that are task relevant or perceptually salient. Recent evidence has shown that stimuli previously associated with reward persistently capture attention involuntarily, even when they are no longer associated with reward. Here we examine whether the capture of attention by previously reward-associated stimuli is modulated by the processing of current but unrelated rewards. Participants learned to associate two color stimuli with different amounts of reward during a training phase. In a subsequent test phase, these previously rewarded color stimuli were occasionally presented as to-be-ignored distractors while participants performed visual search for each of two differentially rewarded shape-defined targets. The results reveal that attentional capture by formerly rewarded distractors was the largest when both recently received and currently expected reward were the highest in the test phase, even though such rewards were unrelated to the color distractors. Our findings support a model in which value-driven attentional biases acquired through reward learning are maintained via the cognitive mechanisms involved in predicting future rewards.
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影响因子：
16.2
作者：
Serences, John T.
通讯作者：
Serences, John T.
DOI：
10.1073/pnas.1104047108
发表时间：
2011-06-21
影响因子：
11.1
作者：
Anderson, Brian A.;Laurent, Patryk A.;Yantis, Steven
通讯作者：
Yantis, Steven
影响因子：
8.2
作者：
Della Libera, Chiara;Chelazzi, Leonardo
通讯作者：
Chelazzi, Leonardo
影响因子：
2
作者：
Anderson BA;Laurent PA;Yantis S
通讯作者：
Yantis S
影响因子：
8.2
作者：
Kiss M;Driver J;Eimer M
通讯作者：
Eimer M