2020
DOI: 10.1016/j.neubiorev.2020.01.018
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Mapping sign-tracking and goal-tracking onto human behaviors

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Cited by 86 publications
(98 citation statements)
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References 124 publications
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“…For example, the fronto-striatal loops involved in flexible behavioral adaptation 21 , 26 30 could be differentiated in a cortical component related to supraliminal processing, and a subcortical component involved in subliminal processing 16 , 23 , 25 , 31 , 32 . Another critical issue is whether individual differences in the prevalence of the automatic component over the explicit one can indicate a higher predisposition to develop a maladaptive behavior 13 , 33 .…”
Section: Discussionmentioning
confidence: 99%
“…For example, the fronto-striatal loops involved in flexible behavioral adaptation 21 , 26 30 could be differentiated in a cortical component related to supraliminal processing, and a subcortical component involved in subliminal processing 16 , 23 , 25 , 31 , 32 . Another critical issue is whether individual differences in the prevalence of the automatic component over the explicit one can indicate a higher predisposition to develop a maladaptive behavior 13 , 33 .…”
Section: Discussionmentioning
confidence: 99%
“…This incentive salience sensitization is posited to cause pathological, cue-induced motivation for drug use that translates into drug-seeking behavior. To date, ISTA has not been thoroughly tested in humans [12,13]. The current study tested the extent to which individual differences in neural correlates of incentive salience attribution to novel alcohol-related cues are evident in humans exhibiting a phenotype proposed to confer risk for AUD via incentive sensitization [14].…”
Section: Introductionmentioning
confidence: 99%
“…Critically (and unlike the current study), Failing and Theeuwes found that this manipulation of physical salience generated significantly stronger suppression in the frequent location of the high-salience distractor than in the frequent location of the low-salience distractor. In summary, then, it seems that differences in physical salience of distractors can result in different levels of suppression arising from statistical learning, but differences in value (or incentive salience: Berridge & Robinson, 1998;Colaizzi et al, 2020;Pearson et al, 2020) do not. Again this conclusion is consistent with the idea that suppression develops at the level of salience maps relating to physical features, rather than maps encoding value.…”
Section: Location-based Suppression and Reward Learning 27mentioning
confidence: 99%