Reward predictions bias attentional selection

Frontiers in Human Neuroscience

Brian August Anderson¹  Patryk A Laurent¹  Steven eYantis¹ 

[1] Johns Hopkins University;

关键词: selective attention;    Reward Learning;    attentional capture;    reward prediction;    incentive salience;   

DOI  :  10.3389/fnhum.2013.00262

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown