Reward predictions bias attentional selection
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 c...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2013-06-01
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| Series: | Frontiers in Human Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00262/full |
| _version_ | 1811225638740164608 |
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| author | Brian August Anderson Patryk A Laurent Steven eYantis |
| author_facet | Brian August Anderson Patryk A Laurent Steven eYantis |
| author_sort | Brian August Anderson |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-12T09:10:43Z |
| format | Article |
| id | doaj.art-b515406b78e84aaa90f608d0fd5aae73 |
| institution | Directory Open Access Journal |
| issn | 1662-5161 |
| language | English |
| last_indexed | 2024-04-12T09:10:43Z |
| publishDate | 2013-06-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Human Neuroscience |
| spelling | doaj.art-b515406b78e84aaa90f608d0fd5aae732022-12-22T03:38:58ZengFrontiers Media S.A.Frontiers in Human Neuroscience1662-51612013-06-01710.3389/fnhum.2013.0026250195Reward predictions bias attentional selectionBrian August Anderson0Patryk A Laurent1Steven eYantis2Johns Hopkins UniversityJohns Hopkins UniversityJohns Hopkins UniversityAttention 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.http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00262/fullselective attentionReward Learningattentional capturereward predictionincentive salience |
| spellingShingle | Brian August Anderson Patryk A Laurent Steven eYantis Reward predictions bias attentional selection Frontiers in Human Neuroscience selective attention Reward Learning attentional capture reward prediction incentive salience |
| title | Reward predictions bias attentional selection |
| title_full | Reward predictions bias attentional selection |
| title_fullStr | Reward predictions bias attentional selection |
| title_full_unstemmed | Reward predictions bias attentional selection |
| title_short | Reward predictions bias attentional selection |
| title_sort | reward predictions bias attentional selection |
| topic | selective attention Reward Learning attentional capture reward prediction incentive salience |
| url | http://journal.frontiersin.org/Journal/10.3389/fnhum.2013.00262/full |
| work_keys_str_mv | AT brianaugustanderson rewardpredictionsbiasattentionalselection AT patrykalaurent rewardpredictionsbiasattentionalselection AT steveneyantis rewardpredictionsbiasattentionalselection |