کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
918944 | 919860 | 2011 | 11 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Generalization gradients in human predictive learning: Effects of discrimination training and within-subjects testing Generalization gradients in human predictive learning: Effects of discrimination training and within-subjects testing](/preview/png/918944.png)
Generalization gradients have been investigated widely in animal conditioning experiments, but much less so in human predictive learning tasks. Here, we apply the experimental design of a recent study on conditioned fear generalization in humans (Lissek et al., 2008) to a predictive learning task, and examine the effects of a number of relevant procedural parameters drawn from the generalization literature in animal conditioning. Experiment 1 shows that prior discrimination learning and steady-state testing procedures sharpen the gradient; Experiment 2 shows that within-subjects testing of the range of generalization stimuli also sharpens the gradient. In addition, Experiment 2 shows that, in case of very flat initial generalization, an orderly gradient can reveal itself through differential rates of extinction learning. Finally, Experiment 2 also evidenced an orderly gradient of generalization-of-extinction. These results suggest that discrimination processes have an important effect on the generalization of predictive learning in humans, and highlight behavioral analogies between animal conditioning and human predictive learning.
► Perceptual generalization has hardly been studied in human predictive learning.
► Animal conditioning studies show that discrimination processes influence perceptual generalization.
► We show that discrimination training and within-subjects testing influence the shape of the gradient in predictive learning.
► We establish the generalization gradient of extinction learning in predictive learning.
► These results highlight the behavioral analogies between animal conditioning and human predictive learning.
Journal: Learning and Motivation - Volume 42, Issue 3, August 2011, Pages 210–220