2019
DOI: 10.1027/1618-3169/a000453
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Stable Individual Differences in Occasion Setting

Abstract: Abstract. In the current investigation, we classified participants as inhibitors or non-inhibitors depending on the extent to which they showed conditioned inhibition in a context that had been used for extinction of a conditioned response. This classification enabled us to predict participant responses in a second experiment which used a different design and a different experimental task. In the second experiment a feature-negative discrimination survived reversal training of the feature to a greater extent i… Show more

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Cited by 9 publications
(17 citation statements)
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References 64 publications
(126 reference statements)
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“…Notably, only a modest proportion of participants in each experiment reported a preventive causal structure, suggesting that traditional associative models (e.g., Rescorla & Wagner, 1972) do not adequately capture what the majority of participants learn during feature negative training. These experiments demonstrate, along with Glautier and Brudan (2019), that feature negative training with the typical simultaneous procedure leads to a variety of learned causal structures in humans.…”
Section: Discussionmentioning
confidence: 54%
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“…Notably, only a modest proportion of participants in each experiment reported a preventive causal structure, suggesting that traditional associative models (e.g., Rescorla & Wagner, 1972) do not adequately capture what the majority of participants learn during feature negative training. These experiments demonstrate, along with Glautier and Brudan (2019), that feature negative training with the typical simultaneous procedure leads to a variety of learned causal structures in humans.…”
Section: Discussionmentioning
confidence: 54%
“…In cases where the individual differences are qualitative, aggregate data may be misleading (e.g., see Lee et al, 2018). Glautier and Brudan’s (2019) study provides initial evidence that there might be stable individual differences in feature negative learning.…”
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confidence: 73%
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